NAMIC Wiki - User contributions [en]

U-Tokyo-visit-03192010

2010-03-18T20:09:15Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide with the movies]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide with the movies]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide with the movies]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide with the movies]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide with the movies]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide with the movies]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan (Post-doctoral fellow, SNR (Hata) lab, BWH) - Image Guided Flexible Instrument Manipulation

*13:45 - 14:00: Panagiotis Vartholomeos (Post-doctoral fellow, SNR (Hata) lab, BWH) - Magnetic Guidance for Targeted Drug Delivery : Goal, Challenges and Clinical Applications

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

File:Neurosurgery.ppt

2010-03-18T20:08:50Z

Elhawary: uploaded a new version of "File:Neurosurgery.ppt"

File:Neurosurgery.ppt

2010-03-18T20:06:58Z

Elhawary: uploaded a new version of "File:Neurosurgery.ppt"

U-Tokyo-visit-03192010

2010-03-18T20:06:39Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide with the movies]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide with the movies]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide with the movies]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide with the movies]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide with the movies]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide with the movies]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery1.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan (Post-doctoral fellow, SNR (Hata) lab, BWH) - Image Guided Flexible Instrument Manipulation

*13:45 - 14:00: Panagiotis Vartholomeos (Post-doctoral fellow, SNR (Hata) lab, BWH) - Magnetic Guidance for Targeted Drug Delivery : Goal, Challenges and Clinical Applications

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T19:53:10Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan (Post-doctoral fellow, SNR (Hata) lab, BWH) - Image Guided Flexible Instrument Manipulation

*13:45 - 14:00: Panagiotis Vartholomeos (Post-doctoral fellow, SNR (Hata) lab, BWH) - Magnetic Guidance for Targeted Drug Delivery : Goal, Challenges and Clinical Applications

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T19:50:43Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan (Post-doctoral fellow, SNR (Hata) lab, BWH) - Image Guided Flexible Instrument Manipulation

*13:45 - 14:00: Panagiotis Vartholomeos (Post-doctoral fellow, SNR (Hata) lab, BWH) - COMPUTATIONAL STUDIES OF CONTROLLED NANOPARTICLE AGGLOMERATIONS FOR MRI-GUIDED NANOROBOTIC DRUG-DELIVERY SYSTEMS

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T19:50:12Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan (Post-doctoral fellow, SNR (Hata) lab, BWH) - Image Guided Flexible Instrument Manipulation

*13:45 - 14:00: Panagiotis Vartholomeos (Post-doctoral fellow, SNR (Hata) lab, BWH) - COMPUTATIONAL STUDIES OF CONTROLLED NANOPARTICLE AGGLOMERATIONS FOR MRI-GUIDED NANOROBOTIC DRUG-DELIVERY SYSTEMS

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T19:45:02Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*13:45 - 14:00: Panagiotis Vartholomeos (Post-doctoral fellow, SNR (Hata) lab, BWH) - COMPUTATIONAL STUDIES OF CONTROLLED NANOPARTICLE AGGLOMERATIONS FOR MRI-GUIDED NANOROBOTIC DRUG-DELIVERY SYSTEMS

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T19:44:34Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*13:45 - 14:00: Panagiotis Vartholomeos - COMPUTATIONAL STUDIES OF CONTROLLED NANOPARTICLE AGGLOMERATIONS FOR
MRI-GUIDED NANOROBOTIC DRUG-DELIVERY SYSTEMS
Post-doctoral fellow, SNR (Hata) lab, BWH

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T19:43:50Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*13:45 - 14:00: Panagiotis Vartholomeos - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*14:00 - 14:15: Sota Oguro (Post-doctoral fellow, SNR (Hata) lab, BWH) - Non-rigid Registration of Pre-procedural MR Images and Intra-procedural CT Images for CT-guided Percutaneous Cryoablation of Renal Tumors

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

File:Video.wmv

2010-03-18T19:43:22Z

Elhawary:

U-Tokyo-visit-03192010

2010-03-18T19:43:07Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video.wmv | Video]]

*13:30 - 13:45: Jayender Jagadeesan - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*13:45 - 14:00: Panagiotis Vartholomeos - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*14:00 - 14:15: Sota Oguro - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T19:42:18Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary (Post-doctoral fellow, SNR (Hata) lab, BWH) - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
** [[Media:Neurosurgery.ppt | Slide]]
** [[Media:Video | Video]]

*13:30 - 13:45: Jayender Jagadeesan - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*13:45 - 14:00: Panagiotis Vartholomeos - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*14:00 - 14:15: Sota Oguro - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

File:Neurosurgery.ppt

2010-03-18T19:41:33Z

Elhawary:

U-Tokyo-visit-03192010

2010-03-18T19:41:03Z

Elhawary: /* Student / Fellow seminars */

=Univ Tokyo/NCIGT joint workshop on Image Guided Therapy=
==Objective==
The objective of this workshop is discuss the mutual interest between the delegates from the University of Tokyo and NCIGT particular in Image Guided Therapy research.

==Faculty talks==
*at Abraham Conference Room, L1, BWH
9:30-10:00am: Welcome/Introduction, Nobuhiko Hata, PhD
* [[Media:hata-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/noby Speaker Bio]

10:00-10:30 Naohiko Sugita, the University of Tokyo
* Talk title: Machining process incorporating biomaterials effective for bone regeneration in arthroplasty
* [[Media:sugita-utokyo-ws.ppt | Slide]]
*[http://www.nml.t.u-tokyo.ac.jp/en/index-e.html Speaker Bio]

10:30-11:00 Yoshikazu Nakajima, PhD, University of Tokyo
* Talk title: High dimensionalization of medical image modalities
* [[Media:nakajima-utokyo-ws.ppt | Slide]]
*[http://www.iml.u-tokyo.ac.jp/nl/index_e.html Speaker Bio]

11:00- 11:30 Ron Kikinis, MD, BWH
* Talk title: 3D Slicer as a Research Platform for Medical Image Computing
* [[Media:kikinis-utokyo-ws.ppt | Slide]]
*[http://www.spl.harvard.edu/pages/People/kikinis Speaker Bio]

==Student / Fellow seminars==
**Organized by Haytham Elhawary (BWH), TBD (Tokyo U)
**12:15-3:00pm
**Held at Room 4-002G, Ledge Building
**Talk format: 12 min talk/3 min questions

*12:15 - 12:30: Joonho SEO - Visual servoing system for non-invasive medical treatment using HIFU
** [[Media:seo-utokyo-ws.ppt | Slide]]

*12:30 - 12:45: Young Min BAEK - A surgical robot universally designed for several surgeries
** [[Media:baek-utokyo-ws.ppt | Slide]]

*12:45 - 13:00: Toki SAITO - Deformable-model-based 2-D/3-D registration for fracture surgeries
** [[Media:saito-utokyo-ws.ppt | Slide]]

*13:00 - 13:15: Toshiyuki OYAMA - Numerical study of bubble motion in liquid
** [[Media:oyama-utokyo-ws.ppt | Slide]]

*13:15 - 13:30: Haytham Elhawary - Intraoperative Visualization of White Matter Tracts During Brain Tumor Resection
Post-doctoral fellow, SNR (Hata) lab, BWH
** [[Media:Neurosurgery.ppt | Slide]]

*13:30 - 13:45: Jayender Jagadeesan - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*13:45 - 14:00: Panagiotis Vartholomeos - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

*14:00 - 14:15: Sota Oguro - Title of Talk
Post-doctoral fellow, SNR (Hata) lab, BWH

3:00PM
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary, Noby Hata, Jayender Jagadeesan, Haiying Liu, Panagiotis Vartholomeos, Sota Oguro

U-Tokyo-visit-03192010

2010-03-18T18:47:21Z

Elhawary:

U-Tokyo-visit-03192010

2010-03-01T21:18:51Z

Elhawary:

Univ Tokyo/NCIGT joint seminar

Schedule:

9:15: Coffee/Welcome/Introduction/

9:30
Noby Hata

10:00

Assoc. Prof. Naohiko Sugita
Surgical robotics

10:30-10:45
Discussion over coffee

10:45-11:15
Assoc. Prof. Yoshikazu Nakajima
Medical image processing

'''11:00- 12:00''' Hold Ron Kikinis's time.

11:15-11:45
NCIGT talk TBD

11:45-12:15
Working Lunch

12:30-14:00
Student / Fellow seminars,
Held at Room 4-002G, Ledge Building.

Wang HAO
Value Sensing System as Generalization of Chance Discovery for Advanced
System Innovations:Modeling and Analysis of Patients & Surgical
procedures

Joonho SEO
Computer Integrated Surgery

Young Min BAEK
An automation of surgical task such as suturing to reduce a time for recursive
tasks in neuro surgery

Toki SAITO
Computer aided surgery. (reconstruction of 3D shape and position
estimation from 2D X-ray images)

Toshiyuki OYAMA
Numerical study of bubble motion in liquid. The key of CFD simulation
including bubbles is to capture interfaces of bubbles

14:00-
NCIGT tour

==Confirmed Assistance==
Haytham Elhawary

U-Tokyo-visit-03192010

2010-02-26T17:43:11Z

Elhawary:

Univ Tokyo/NCIGT joint seminar

Schedule:

9:15: Coffee/Welcome/Introduction/

9:30
Noby Hata

10:00

Assoc. Prof. Naohiko Sugita
Surgical robotics

10:30-10:45
Discussion over coffee

10:45-11:15
Assoc. Prof. Yoshikazu Nakajima
Medical image processing

11:15-11:45
NCIGT talk TBD

11:45-12:15
Working Lunch

12:30-14:00
Student / Fellow seminars,
Held at Room 4-002G, Ledge Building.

Wang HAO
Value Sensing System as Generalization of Chance Discovery for Advanced
System Innovations:Modeling and Analysis of Patients & Surgical
procedures

Joonho SEO
Computer Integrated Surgery

Young Min BAEK
An automation of surgical task such as suturing to reduce a time for recursive
tasks in neuro surgery

Toki SAITO
Computer aided surgery. (reconstruction of 3D shape and position
estimation from 2D X-ray images)

Toshiyuki OYAMA
Numerical study of bubble motion in liquid. The key of CFD simulation
including bubbles is to capture interfaces of bubbles

14:00-
NCIGT tour

U-Tokyo-visit-03192010

2010-02-26T17:42:59Z

Elhawary:

Univ Tokyo/NCIGT joint seminar

Schedule:

9:15: Coffee/Welcome/Introduction/

9:30
Noby Hata

10:00

Assoc. Prof. Naohiko Sugita
Surgical robotics

10:30-10:45
Discussion over coffee

10:45-11:15
Assoc. Prof. Yoshikazu Nakajima
Medical image processing

11:15-11:45
NCIGT talk TBD

11:45-12:15
Working Lunch

12:30-14:00
Student / Fellow seminars
Held at Room 4-002G, Ledge Building.

Wang HAO
Value Sensing System as Generalization of Chance Discovery for Advanced
System Innovations:Modeling and Analysis of Patients & Surgical
procedures

Joonho SEO
Computer Integrated Surgery

Young Min BAEK
An automation of surgical task such as suturing to reduce a time for recursive
tasks in neuro surgery

Toki SAITO
Computer aided surgery. (reconstruction of 3D shape and position
estimation from 2D X-ray images)

Toshiyuki OYAMA
Numerical study of bubble motion in liquid. The key of CFD simulation
including bubbles is to capture interfaces of bubbles

14:00-
NCIGT tour

MarlyResults

2009-09-24T13:52:00Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
!width="150"|T2 manual segmentation
!width="150"|Results (DSC, HD)
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || ‎ [[File:Marti_145.nrrd.zip]] || http://prostatemrimagedatabase.com/Database/000145/00002/004/index.html || 0.77, 7.1mm
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000190/00001/004/index.html || N/A
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || [[File:Marti_148.nrrd.zip‎]] ||http://prostatemrimagedatabase.com/Database/000148/00003/003/index.html || 0.64, 15.8mm
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || [[File:Marti_135.nrrd.zip‎]] || http://prostatemrimagedatabase.com/Database/000135/00003/006/index.html || 0.82, 8.28mm
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || [[File:Marti_134.nrrd.zip]] ||http://prostatemrimagedatabase.com/Database/000134/00002/004/index.html || 0.62, 15.8mm
|-
|-
| Statistics || - || - || - || - || Average (0.71, 11.75mm), Std (0.1, 4.71)
|-
|}

MarlyResults

2009-09-24T13:51:46Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
!width="150"|T2 manual segmentation
!width="150"|Results (DSC, HD)
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || ‎ [[File:Marti_145.nrrd.zip]] || http://prostatemrimagedatabase.com/Database/000145/00002/004/index.html || 0.77, 7.1mm
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000190/00001/004/index.html ||
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || [[File:Marti_148.nrrd.zip‎]] ||http://prostatemrimagedatabase.com/Database/000148/00003/003/index.html || 0.64, 15.8mm
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || [[File:Marti_135.nrrd.zip‎]] || http://prostatemrimagedatabase.com/Database/000135/00003/006/index.html || 0.82, 8.28mm
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || [[File:Marti_134.nrrd.zip]] ||http://prostatemrimagedatabase.com/Database/000134/00002/004/index.html || 0.62, 15.8mm
|-
|-
| Statistics || - || - || - || - || Average (0.71, 11.75mm), Std (0.1, 4.71)
|-
|}

DowlingResults

2009-09-24T13:48:41Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
!width="150"|T2 manual segmentation
!width="150"| Results (DSC, HD)
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000145/00002/004/index.html || 0.84, 9.9mm
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000190/00001/004/index.html || N/A
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000148/00003/003/index.html || 0.83, 10mm
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000135/00003/006/index.html || 0.62, 19.2mm
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || Submit here your result || http://prostatemrimagedatabase.com/Database/000134/00002/004/index.html || 0.84, 6.67mm
|-
|-
| Statistics || - || - || - || - || Average (0.78, 11.45mm), Std (0.11, 5.4)
|-
|}

DowlingResults

2009-09-24T13:46:40Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
!width="150"|T2 manual segmentation
!width="150"| Results (DSC, HD)
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000145/00002/004/index.html || 0.84, 9.9mm
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000190/00001/004/index.html || N/A
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000148/00003/003/index.html || 0.83, 10mm
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000135/00003/006/index.html || 0.62, 19.2mm
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || Submit here your result || http://prostatemrimagedatabase.com/Database/000134/00002/004/index.html || 0.84, 6.67mm
|-
|-
|}

MarlyResults

2009-09-24T13:31:15Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
!width="150"|T2 manual segmentation
!width="150"|Results (DSC, HD)
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || ‎ [[File:Marti_145.nrrd.zip]] || http://prostatemrimagedatabase.com/Database/000145/00002/004/index.html
||
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000190/00001/004/index.html
||
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || [[File:Marti_148.nrrd.zip‎]] ||http://prostatemrimagedatabase.com/Database/000148/00003/003/index.html
||
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || [[File:Marti_135.nrrd.zip‎]] || http://prostatemrimagedatabase.com/Database/000135/00003/006/index.html
||
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || [[File:Marti_134.nrrd.zip]] ||http://prostatemrimagedatabase.com/Database/000134/00002/004/index.html
||
|-
|-
|}

MarlyResults

2009-09-24T11:15:15Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

DowlingResults

2009-09-24T11:14:16Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

DowlingResults

2009-09-24T11:13:48Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

MarlyResults

2009-09-24T09:24:17Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

DowlingResults

2009-09-24T09:22:50Z

Elhawary: /* Prostate Segmentation Challenge for 5 patient cases */

DowlingResults

2009-09-24T09:21:50Z

Elhawary: Created page with '== '''Prostate Segmentation Challenge for 5 patient cases''' == {| border="1" cellpadding="2" !width="75"|Patient Number !width="150"|T2 images !width="150"|Description !width="…'

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
!width="150"|T2 manual segmentation
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000145/00002/004/index.html
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000190/00001/004/index.html
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000148/00003/003/index.html
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000135/00003/006/index.html
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || Submit here your result || http://prostatemrimagedatabase.com/Database/000134/00002/004/index.html
|-
|-
|}

MarlyResults

2009-09-24T09:20:57Z

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
!width="150"|T2 manual segmentation
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000145/00002/004/index.html
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000190/00001/004/index.html
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000148/00003/003/index.html
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || Submit here your result || http://prostatemrimagedatabase.com/Database/000135/00003/006/index.html
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || Submit here your result || http://prostatemrimagedatabase.com/Database/000134/00002/004/index.html
|-
|-
|}

2009 prostate segmentation challenge MICCAI

2009-09-24T09:18:44Z

Elhawary:

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rules=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset. A [http://www.slicer.org/slicerWiki/index.php/Modules:RegistrationMetrics-Documentation-3.5 module] has been created in Slicer3 which can calculate the 95% Hausdorff distance and Dice Similarity Coefficient between your segmentation and the manual segmentations of the prostate provided.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Downloads=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#[http://wiki.na-mic.org/Wiki/index.php/ContestData Contest Data on site]

=Contestants Results Submission=
Use the following template to upload results:

#Albert Gubern-Merida and Robert Marti, University of Girona, [[User:Marly | Link to Page]]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [[User:Jason.dowling | Link to Page]]

=Contestants On-site Results Submission=

#Albert Gubern-Merida and Robert Marti, University of Girona, [http://wiki.na-mic.org/Wiki/index.php/MarlyResults Link to Page]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [http://wiki.na-mic.org/Wiki/index.php/DowlingResults Link to Page]

=Evaluation Scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

2009 prostate segmentation challenge MICCAI

2009-09-24T09:17:50Z

Elhawary: /* Contestants On-site Results Submission */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rules=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset. A [http://www.slicer.org/slicerWiki/index.php/Modules:RegistrationMetrics-Documentation-3.5 module] has been created in Slicer3 which can calculate the 95% Hausdorff distance and Dice Similarity Coefficient between your segmentation and the manual segmentations of the prostate provided.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Downloads=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#[http://wiki.na-mic.org/Wiki/index.php/ContestData Contest Data on site]

=Contestants Results Submission=
Use the following template to upload results:

#Albert Gubern-Merida and Robert Marti, University of Girona, [[User:Marly | Link to Page]]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [[User:Jason.dowling | Link to Page]]

=Contestants On-site Results Submission=

#Albert Gubern-Merida and Robert Marti, University of Girona, [http://wiki.na-mic.org/Wiki/index.php/MarlyResults | Link to Page]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [http://wiki.na-mic.org/Wiki/index.php/DowlingResults | Link to Page]

=Evaluation Scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

2009 prostate segmentation challenge MICCAI

2009-09-24T09:16:48Z

Elhawary:

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rules=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset. A [http://www.slicer.org/slicerWiki/index.php/Modules:RegistrationMetrics-Documentation-3.5 module] has been created in Slicer3 which can calculate the 95% Hausdorff distance and Dice Similarity Coefficient between your segmentation and the manual segmentations of the prostate provided.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Downloads=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#[http://wiki.na-mic.org/Wiki/index.php/ContestData Contest Data on site]

=Contestants Results Submission=
Use the following template to upload results:

#Albert Gubern-Merida and Robert Marti, University of Girona, [[User:Marly | Link to Page]]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [[User:Jason.dowling | Link to Page]]

=Contestants On-site Results Submission=

#Albert Gubern-Merida and Robert Marti, University of Girona, [[http://wiki.na-mic.org/Wiki/index.php/MarlyResults | Link to Page]]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [[http://wiki.na-mic.org/Wiki/index.php/MarlyResults | Link to Page]]

=Evaluation Scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

ContestData

2009-09-24T08:15:54Z

== '''Prostate Segmentation Challenge for 5 patient cases''' ==

{| border="1" cellpadding="2"
!width="75"|Patient Number
!width="150"|T2 images
!width="150"|Description
!width="150"|T2 segmented images
|-
| 1 || http://prostatemrimagedatabase.com/Database/000145/00002/002/index.html || 1.5T with Surface Coil || Not available yet
|-
|-
| 2 || http://prostatemrimagedatabase.com/Database/000190/00001/001/index.html || 3T with endorectal coil || Not available yet
|-
|-
| 3 || http://prostatemrimagedatabase.com/Database/000148/00003/001/index.html || 1.5T with Surface Coil || Not available yet
|-
| 4 || http://prostatemrimagedatabase.com/Database/000135/00003/001/index.html || 1.5T Surface coil || Not available yet
|-
|-
| 5|| http://prostatemrimagedatabase.com/Database/000134/00002/001/index.html || 1.5T surface coil, after prostate treatment || Not available yet
|-
|-
|}

2009 prostate segmentation challenge MICCAI

2009-09-24T08:14:52Z

Elhawary: /* Downloads */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rules=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset. A [http://www.slicer.org/slicerWiki/index.php/Modules:RegistrationMetrics-Documentation-3.5 module] has been created in Slicer3 which can calculate the 95% Hausdorff distance and Dice Similarity Coefficient between your segmentation and the manual segmentations of the prostate provided.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Downloads=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#[http://wiki.na-mic.org/Wiki/index.php/ContestData Contest Data on site]

=Contestants Results Submission=
Use the following template to upload results:

#Albert Gubern-Merida and Robert Marti, University of Girona, [[User:Marly | Link to Page]]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [[User:Jason.dowling | Link to Page]]

=Evaluation Scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

2009 prostate segmentation challenge MICCAI

2009-09-24T08:14:30Z

Elhawary: /* Downloads */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rules=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset. A [http://www.slicer.org/slicerWiki/index.php/Modules:RegistrationMetrics-Documentation-3.5 module] has been created in Slicer3 which can calculate the 95% Hausdorff distance and Dice Similarity Coefficient between your segmentation and the manual segmentations of the prostate provided.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Downloads=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#[http://wiki.na-mic.org/Wiki/index.php/ContestData(for contest on-site)]

=Contestants Results Submission=
Use the following template to upload results:

#Albert Gubern-Merida and Robert Marti, University of Girona, [[User:Marly | Link to Page]]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [[User:Jason.dowling | Link to Page]]

=Evaluation Scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

2009 prostate segmentation challenge MICCAI

2009-09-18T17:25:29Z

Elhawary: /* Downloads */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rules=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset. A [http://www.slicer.org/slicerWiki/index.php/Modules:RegistrationMetrics-Documentation-3.5 module] has been created in Slicer3 which can calculate the 95% Hausdorff distance and Dice Similarity Coefficient between your segmentation and the manual segmentations of the prostate provided.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Downloads=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#[http://wiki.ncigt.org/index.php?title=Prostate_Segmentation_Challenge_MICCAI_2009&action=edit&redlink=1 Subject data (for contest on-site)]

=Contestants Results Submission=
Use the following template to upload results:

#Albert Gubern-Merida and Robert Marti, University of Girona, [[User:Marly | Link to Page]]
#Jason Dowling (AEHRC CSIRO, Australia), Jurgen Fripp (AEHRC CSIRO, Australia), Peter Greer (Newcastle Mater Hospital, Australia), Sebastien Ourselin (UCL, UK), Olivier Salvado (AEHRC CSIRO, Australia), [[User:Jason.dowling | Link to Page]]

=Evaluation Scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

2009 prostate segmentation challenge MICCAI

2009-06-29T23:01:36Z

Elhawary: /* Rule */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rule=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset. A [http://www.slicer.org/slicerWiki/index.php/Modules:RegistrationMetrics-Documentation-3.5 module] has been created in Slicer3 which can calculate the 95% Hausdorff distance and Dice Similarity Coefficient between your segmentation and the manual segmentations of the prostate provided.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Download=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#Subject data (for contest on-site)

=Contestants Results Submission=
Use the following template to upload results:
#Contestant Name(s), Contestant Institution(s), [[MICCAI2009Prostate-BWH | Link to template]]

For example:
#Nobuhiko Hata, PhD, Brigham and Women's Hospital, [[MICCAI2009Prostate-BWH]]

=Evaluation scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

Enhanced Neurosuregery navigation

2009-06-25T21:18:19Z

Elhawary: /* Key Investigators */

__NOTOC__
<gallery>
Image:PW2009-v3.png|[[2009_Summer_Project_Week|Project Week Main Page]]
Image:NeuroNavigation.jpg|Schematic of hybrid neuronavigation system combining Brainlab, Aurora tracking and 3D Slicer.
</gallery>

==Key Investigators==
* BWH: Haytham Elhawary, Nobuhiko Hata, Alexandra J. Golby, Isaiah Norton, Haiying Liu

<div style="margin: 20px;">
<div style="width: 27%; float: left; padding-right: 3%;">

<h3>Objective</h3>
We are developing a hybrid neuronavigation system which combines a Brainlab navigation system with optical tracking, an Aurora electromagnetic (EM) tracking device and 3D Slicer to enhance current neurosurgical practice. We will add micro EM sensors to neurosurgical tools in order to track their tip location and integrate position and orientation into a 3D Slicer navigation environment.

</div>

<div style="width: 27%; float: left; padding-right: 3%;">

<h3>Approach, Plan</h3>
Our approach is to use Brainlab to perform patient to image registration and patient tracking, and to use the Aurora device to track the tip location of the tools. OpenIGTLink will be used to interface patient images and tracking data into 3D Slicer<foo>.

</div>

<div style="width: 40%; float: left;">

<h3>Progress</h3>
This work has been granted funding by CIMIT and is scheduled to be completed in 2010.
Talked to Brainlab to set up a lab based hybrid optical EM tracking system to experiments. Started Slicer3 module for navigation. Got information from Georgetown and Johns Hopkins on tips to using the Aurora tracking device and assuring accurate tracking.
</div>
</div>

==References==
* To be updated

Enhanced Neurosuregery navigation

2009-06-25T21:17:39Z

Elhawary: /* Key Investigators */

Events

2009-06-25T21:10:09Z

Elhawary: /* 2009 */

__NOTOC__
== Introduction ==

{| border="00" cellpadding="8" cellspacing="0"
|-
| rowspan="2"| NA-MIC organizes a variety of events. The engineering core holds a weekly telephone conference. Workshops address specific research focus areas. Training events aim at training NA-MIC participants and outsiders in NA-MIC technologies. Project weeks are intended for making progress in a variety of projects. The majority of NA-MIC events are hands-on and open to collaborators and interested scientists.
| style="background: #ebeced" colspan="2" align="center"| <b>Example of a Training Event</b>
|-
| style="background: #ebeced"| [[Image:Munich2008-Danielle.jpg|250px]]
| style="background: #ebeced"| The Munich 2008 training workshop in full swing. For more information about the workshop, click [[2008_June_Workshop_Germany|'''here''']].
|}
<br />

== [[TCON:Main|'''Telephone Conferences''']] ==

== Upcoming Events ==

== 2009 ==
* [[2009_Summer_Project_Week|June 22-26, 2009: The FIRST JOINT Summer Project Week]]
* Summer 2009: NA-MIC 3D Visualization course for Radiology residents, Brigham and Women's Hospital, Boston, MA
* [[Events:Slicer_Workshop_August_2009|August 25, 2009: Slicer Workshop]], Surgical Planning Lab, 1249 Boylston Street, Boston, MA
* September 20-24, 2009: [http://wiki.na-mic.org/Wiki/index.php/2009_prostate_segmentation_challenge_MICCAI Prostate MRI Segmentation Challenge"] at [http://grand-challenge2009.bigr.nl/index.php MICCAI 3D Segmentation in the clinic: a grand challenge] .
* October 17-21, 2009: (exact workshop date TBA) [http://www.sfn.org/index.cfm?pagename=am2009preview Annual Meeting of the Society of Neuroscience, Chicago IL][[SFN2009 Slicer DTI Workshop]]
* December 1, 2009: [http://rsna2008.rsna.org/RSNA_2009.cfm Annual Meeting of the Radiological Society of North America, Chicago IL NA-MIC 3D Visualization workshop for Radiologists]

== 2010 ==
* '''January 4-8, 2010''' [[AHM_2010|All Hands Meeting in Salt Lake City]]

== Standing Events ==

* [[TCON:Main|A list of all upcoming and past teleconferences is available here]].
* [[Engineering:Programming_Events|Hands on Project Events]]
* [http://www.slicer.org/slicerWiki/index.php/Slicer:Developer_Meetings Slicer developer meetings are here].

== Past Events ==

===2009===
* Wednesday June 17, 2009 [[CAOS2009_Slicer Workshop| Hands-On Workshop for Slicer IGT for Computer Aided Orthopeadic Surgery]]
* Wednesday June 17, 2009 [[SlicerKyusyuJune2009Lecture| Lecture and demonstration, Image Guided Therapy of abdominal organs, N Hata, at Kysyu University Medical School, Kyusyu, Japan]]
* Tuesday June 16, 2009 [[SlicerNagoyaJune2009Workshop| Workshop: How to make your custom IGT software using 3D Slicer, N Hata, Nagoya Institute of Technology, Nagoya, Japan]]
* Monday and Tuesday May 11 and 12. Core 1 PI meeting at Georgia Tech.
* Friday May 8, 2009: [http://www.na-mic.org/Wiki/index.php/IMFAR2009 IMFAR 2009] - [http://www.autism-insar.org/index.php?option=com_content&task=view&id=36&Itemid=105 Presentation at the 8th Annual International Meeting for Autism Research (IMFAR) in Chicago, IL] entitled Use of the Slicer3 Toolkit to Produce Regional Cortical Thickness Measurement of Pediatric MRI Data".
* Friday May 8. Focus session on [[Volume Rendering and Loadable Modules: (Engineering & Usability Notes)]].
* Monday and Tuesday May 4 and 5. Core 1 / Core 2 visit at Georgia Tech ([[May 4, 2009 Notes]], [[May 5, 2009 Notes]]).
* [[NCI Slicer Tutorial 03-19-2009|NCI Slicer tutorial, March 19, 2009]] We had to reschedule! New date TBD!
* Wednesday, March 4 2009: [[2009-03-04-Editor-Usability|Interactive Editor usability]] session in Rons office
* Tuesday February 24 at 1249 Boylston: [http://www.slicer.org/slicerWiki/index.php/Slicer3:Using3.4 Afternoon session to walk through common Slicer3.4 usage scenarios]
* Tuesday February 24, at BWH (location: Mellins Library) [[BWH_RadiologyResident_Training2009.1| NA-MIC 3D Slicer 3.2 Hands-On Workshop]]
* February 17-20, 2009: [[GWE_MiniRetreat|GWE Mini Retreat]], Boston
* January 28-30, 2009:[http://www.slicer.org/slicerWiki/index.php/Slicer3:MiniRetreat_January_28-30,2009 Slicer3 MiniRetreat]
* January 8, 2009:[[Events:TutorialContestJan2009| Tutorial Contest:]] announcement of the winners.
* '''[[AHM_2009|January 5-9, 2009, AHM,]] [[2009_EAB|EAB,]] [[2009_Winter_Project_Week|Winter Project Week]]'''

=== 2008 ===
* December 15-16, 2008:[[2008_Engineering_review_at_UNC|2008 Engineering review at UNC]], Chapel Hill
* Fall Semester 2008 Ibanez and Schroeder teach [http://public.kitware.com/OpenSourceSoftwarePractice/index.php/Main_Page Open Source Software Course] at Rensselaer Polytechnic Institute
* December 8-12, 2008:[[2008_IGT_Project_Week|IGT Hands-on Project Week]], Boston
* December 1, 2008:[[Events:RSNA2008| Tutorial at RSNA]], [http://rsna2008.rsna.org/ RSNA conference website]
* November 15-19, 2008: [[NA-MIC_Lupus_DBP_Worskhop_SFN2008|NA-MIC Lupus DBP White Matter Lesion Tutorial Release at 2008 Society for Neuroscience Annual Meeting, Washington, DC]]
* November 18, 2008: [[Slicer3_Q&A_2008-11-18|Slicer Q&A Session at BWH]]
* November 4, 2008: [[NA-MIC_3D_Visualization_Workshop_Massachussetts_General_Hospital|NA-MIC 3D Visualization Workshop at Massachusetts General Hospital, Boston, MA]]
* October 30, 2008 : [[NA-MIC_3D_Visualization_Workshop_Brigham_and_Women's_Hospital| NA-MIC 3D Visualization Workshop at Brigham and Women's Hospital, Boston, MA]]
* October 28, 2008 : [[Harvard_Medical_Education_Day | Harvard Medical Education Day, Boston, MA]]
* October 15-16, 2008: '''[[Robarts_Training_Session | NA-MIC kit training event at The University of Western Ontario]]''', London, Ontario, Canada
* October 21, 2008, Nobuhiko Hata gave a talk entitled Role of Image Processing, Navigation and Robots in MRI-guided Intervention, Bioimaging Sciences Division, Department of Radiology, Yale University School of Medicine, New Heaven, CT
* October 17, 2008, Nobuhiko Hata, PhD, gave a talk entitled "Role of Image Processing, Navigation and Robots in MRI-guided Intervention", at Robarts Institute, University of Western Ontario, Ontario, Canada
* Tuesday October 7, 2008, 3pm: '''[[Stefan_Baumann_visit | Stefan Baumann from Novartis will present at 1249 Boylston]]
* [[Slicer_Day_October_2008|October 7, 2008: Slicer in the Fall]], 1249 Boylston, Boston MA
* September 10, 2008: '''[[Miccai_2008_Tutorial| Interfacing third-party software with the NA-MIC Kit]]''': Tutorial at MICCAI 2008, New York City
* September 10, 2008: '''[[Miccai_2008_Prostate_Workshop| Prostate image analysis and computer-assisted intervention]]''': Workshop at MICCAI 2008, New York City
* September 6, 2008: '''[[Miccai_2008_Systems_and_Architecture_Workshop| Systems & architecture for computer assisted intervention]]''': Workshop at MICCAI 2008, New York City
* September 6, 2008: '''[[Miccai_2008_Segmentation_Workshop| Segmentation in the Clinic Challenge]]''': Workshop at MICCAI 2008, New York City
* September 3, 2008: '''[[Stanford_2008_Slicer_Workshop| Slicer Training in Stanford]]'''
* August 21-22, 2008: [[Events:August2008XNATDesktop|Visit by WashU Developers to Boston for Discussions of XND]]
* August 15, 2008: [[Events:NCI_Workshop_August_2008|August 15 2008, NA-MIC Workshop at NCI]]
* August 13-14, 2008: [[Events:August_2008_NCBC_AHM|August 13-14 2008, NCBC all hands meeting]]
* July 30 - August 1, 2008: [[2008_July_RFA_Experiment_Georgetown | RFA Interventional Experiment at Georgetown University]]
* August 1, 2008: [[Events:August2008XNATDesktop| Planning tcon for XNAT Desktop Slicer interface]]
* Steve Pieper presented NA-MIC and Slicer Module development at the [http://www.ipam.ucla.edu/programs/mbi2008/ IPAM MBI] Summer School [[Media:Pieper-UCLA-MBI-2008-07-17.ppt|(Slides)]]
* July 10 or 11, 2008: [[2008 July Slicer Introduction to Princess Margaret Hospital|Slicer Introduction to Princess Margaret Hospital]]
* June 30, 2008: Steve Pieper presented at the [http://www.nitrc.org NITRC] all hands meeting.
* July 23, 2008: [[2008_July_Slicer_IGT_VV_Link_Session_II|Slicer IGT Integration with Brainlab via VVLink]]
* June 23-27, 2008: '''[[2008_Summer_Project_Week|Summer Project Week]]'''
* June 26, 2008: [[2008_June_IGT_Tumor_Growth_Model_Demo_SPL|June 26, 2008, 4pm, Tumor Growth Model Software Demo at SPL]]
* June 16-17, 2008: '''[[2008 June Workshop Germany |Training Event in Germany]]'''
* May 21, 2008: [[2008_Core_1_UNC_Utah_DTI| Core 1 UNC & Utah Technical Meeting about DTI tool development at Utah]]
* May 22-23, 2008: [[2008_Core_1_Core_3_mtg|Cores 1-3 Technical Meeting at Utah]]
* March - June, 2008: [[3D_Ultrasound_Module_in_Slicer_3|Slicer IGT training for graduate students at SJTU, Shanghai, China (every Thursday 10 am - noon)]]
* May 21, 2008: Kilian Pohl presented on segmentation tools in 3D Slicer at the [http://www.dkfz.de/en/mbi/index.html Division of Medical and Biological Informatics, DKFZ, Germany] ([[media:Pohl_dkfz_08.pdf | Slides]])
* Noon, May 12, 2008: [[Events:May12_2008_FirstMondaySeminar | Brigham and Women's Hospital, First Monday Seminar Talk given by Drs. Ichiro Sakuma and Nassir Navab]]
* May 8, 2008: [[Events:2008_05_08_Collaboration_UWA_Perth|Conference Call to Explore Collaboration with Adam Wittek, UWA Perth]]
*May 2, 2008: [[2008_5_2_Hata_Talk_U_Michigan | Nobuhiko Hata's talk at Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI ]]
* [http://www.slicer.org/slicerWiki/index.php/Slicer3:Slicer3_Workshop_UNC_Chapel_Hill_2008#Preparation_for_the_Workshop April 14, 2008: Full day Slicer 3 Users and Plug-in Workshop] hosted by UNC-Chapel Hill faculty
* April 7, 2008: [[2008_David_Hawkes|2008 Dr. David Hawkes of UCL's visit to SPL]]
* March 31- Apr 11, 2008: [[2008_Platel_visit_from_TUE|2008 Dr. Platel's, IGT grp leader from Technical University Eindhoven, to SPL]]
* March 24-27, 2008: [[2008_Engineering_review_at_Utah|2008 Engineering review at Utah]]
* [[Events:HST-563-March2008|March 19, 2008: Harvard-MIT Division of Health Sciences and Technology (HST), Lecture on Interventional MRI by Hata, Kikinis, HST 563]]
* March 12, 2008: Steve Pieper presented on the NA-MIC Kit and 3D Slicer at the [http://www.cisst.org/wiki/Seminar_2008_03_12_3D_Slicer Johns Hopkins CISST] ([[media:Pieper-JHU-seminar-2008-03-12.ppt | Slides]])
* March 10-11, 2008: [[IGT:March_2008_IGT_Workshop|IGI Workshop, Rockville, MD]]
* Discussion of NA-MIC Kit for Cardiac EP with [http://www.bidmc.harvard.edu/cmr BIDMC].
* [http://www.slicer.org/slicerWiki/index.php/Slicer3:Spring-2008-User-Training#Preparation_for_the_Workshop February 20th, 2008, Spring 2008 Slicer3 User Training Workshop ] at the SPL 1249 Boylston St, Boston
* [http://www.slicer.org/slicerWiki/index.php/Slicer3:MiniRetreat February 5-7, 2008, Slicer3 Mini-Retreat, Boston]
* '''[[AHM_2008|January 7-11, 2008, AHM,]] [[2008_EAB|EAB,]] [[2008_Winter_Project_Week|Winter Project Week]]

=== 2007 ===
*[[2007_December_Slicer_IGT_Programming|December 12-14, 2007, Slicer IGT Programming Event]]
*[http://www.insightsoftwareconsortium.org/wiki/index.php/2007_MICCAI_Open_Workshop Nov 2, 2007: Third Annual Open Source Workshop at MICCAI]
*[[2007_October_Collaboration_Visit_Robert_Israel|October 14-20, 2007, Robert Israel Collaboration Visit to SPL]]
*2007 October 16-17: [http://nbirn.net/about/current/ahm2007.shtm BIRN AHM] Query Atlas and Qdec interfaces in Slicer 3 presented at the BIRN AHM.
** [http://wiki.na-mic.org/Wiki/index.php/Slicer3:Module:QueryAtlas See this page] for links to QueryAtlas slides, movies and example datasets.
** [http://wiki.na-mic.org/Wiki/index.php/Image:Slicer3QDEC_AHM2007.ppt See this page] for links to Qdec slides.
*[[SanteFe.Tractography.Conference | October 1-2, 2007, Contrasting Tractography Methods Conference, Santa Fe]]
*[[Engineering:September 12, 2007 | September 12, 2007, Engineering End of Summer Meeting]]
*[[GPU.Enabled.Tools.Meeting | September 11, 2007, GPU-enabling of NA-MIC Algorithms, Boston]]
* Aug 21, 2007: [[DBP2:UNC:Cortical Thickness Roadmap | UNC DBP Roadmap Tcon]]
* '''[[2007_Programming/Project_Week_MIT|June 25-29, 2007, Summer Programming/Project Week at MIT]]'''
* [[Training:OHBM2007_Training_Workshop|June 9, 2007, OHBM DTI Training Workshop, Chicago]]
*[[2007_Pohl_at_CCB|June 1, 2007, Pohl Talk at CCB: A Hierarchical Segmentation Algorithm for MR Brain Images]]
* '''[[2007_Core_1_Meeting|May 29-31, 2007, Annual Core 1 Workshop, Boston]]'''
* April 24 Steve Pieper presented Slicer3 and the NA-MIC Kit to the [http://gray.mgh.harvard.edu/content/index.php Medical Physics group at MGH] [http://wiki.na-mic.org/Wiki/images/9/9c/Pieper-MGH-medical-physics-2007-04-24.ppt (slides)]
* [http://www.slicer.org/slicerWiki/index.php/Slicer3:MiniRetreat_March_29%2C_30%2C_2007 March 29, 30, 2007, Slicer3 Mini-Retreat, Boston]
* Feb 21-22 Vince Calhoun from MIND is visiting at MIT and MGH [http://www.csail.mit.edu/events/eventcalendar/calendar.php?show=event&id=1349 Talk announecement]
* Feb 3 and 10, 2007: [http://mri.radiology.uiowa.edu/mediawiki/index.php/ITK_Programming_Short_Course_-_Feb_2007 Iowa ITK Programming Short Course]
* [http://www.slicer.org/slicerWiki/index.php/Slicer3:MiniRetreat Feb 7-8, 2007, Slicer3 Mini-Retreat, Boston]
* Jan 29 2007: [[P41-2007-Joint-Retreat | CFIT NAC P41 2007 Joint Retreat]]
* [[2007-01-16 Core 5, Core 6 Summit]]
* '''[[AHM_2007|Jan 10-11-12, 2007: Third All Hands Meeting, EAB, Project Half Week]]'''

=== 2006 ===

* [http://www.slicer.org/slicerWiki/index.php/Slicer3:Alpha-release 2006 December 12: Slicer3 retreat at Kitware]
* [[2006_November_Meshing_Project_Visit|November 7-8, 2006: Meshing Collaborator Project Visit to BWH]]
* [http://www.slicer.org/slicerWiki/index.php/Slicer3:Usability November 15, 2006: Usability session with PNL at BWH ]
* [[Training:User_Workshop_Fall_HCNR_2006|November 1, 2006: NA-MIC Training Workshop at the Harvard Center for Neurodegeneration and Repair, Boston. ]]
* [[Oct-26-2006-MIND-visit_Visiting_the_MIND_institute|October 26, 2006: New DBP MIND Institute Visit]]
* October 23-26, 2006 [http://www.nbirn.net/press/current/ahm2006.shtm <nowiki>| BIRN All Hands Meeting</nowiki>]
* [[IGT:October_2006_IGT_Workshop|October 19-20 2006, NCIGT and NA-MIC Workshop on Open System Architectures for Image-Guided Therapy]]
* [[Core1-3-meeting-2006|October 17 2006: Coordination meeting]] between Core 1 and Core 3 to plan the specifics for the third and last year of the current DBP's
* [http://www.insightsoftwareconsortium.org/wiki/index.php/2006_MICCAI_Open_Workshop MICCAI_2006 October 1, 2006: Open Source Workshop at MICCAI 2006, Copenhagen]
* [[2006_September_Slicer3_Update|September 19-20, 2006 Slicer 3 Update Meeting in Boston]]
* September 14-15, 2006: We have been invited to participate in [http://usms.nist.gov/workshops/bioimaging.htm NIH Workshop on Standards in Change Measurement]. This workshop will potentially set the stage for additional workshops that focus on Image Guided Interventions and Open Source standards.
* Sept-06-2006, [http://www.ibmisps.org/pdf/InformationparticipantsANGLAIS.pdf 2006 IBMISPS conference:] [[Media:Kikinis-IBMISPS-09-06-2006.ppt|talk]] by [[media:Kikinis-FOSS.ppt|R. Kikinis on FOSS]] ([[2006 FOSS Abstract Kikinis]])
* [[NIH:_2006_All_NCBC_Meeting|July 17-19, 2006, All NCBC All Hands Meeting at NIH]]
* [[Training:NLM_Workshop_2006|July 19, 2006: NA-MIC Training Workshop at NLM]]
* [http://bsp.csie.nctu.edu.tw/lssa06/ July 13-14, 2006: 2nd IEEE-NLM International Life Science Systems and Applications Workshop, Lister Hill Auditorium, NIH, chaired by Stephen Wong, co-sponsored by IEEE, NLM, and NAMIC]
* July 2nd: Ron Kikinis [[Media:NA-MIC-Kit-07-01-2006.ppt| presentation]] (28MB ppt file) at the [http://www.future-cad.org/fcad/Docs/CFP_for_2nd_Int_Sympo_2006_ver3.2.pdf The 2nd International Symposium on Intelligent Assistance in Diagnosis of Multi-Dimensional Medical Images ]
* '''[[2006_Programming/Project_Week_MIT|June 26-30, 2006, Summer Programming/Project Week at MIT]]'''
* [[Georgia_Tech_visit_to_UNC%2C_June_8-9|June 8-9, 2006, Georgia Tech visit to UNC: Shape Analysis Discussion]]
* [http://www.slicer.org/slicerWiki/index.php/Slicer:Slicer3-June-5-2006-Retreat June 5, 2006, Slicer 3 Retreat]
* May 30, 2006 [http://www.cimit.org/forum/forum.html CIMIT Forum] with Steve Pieper and Luis Ibanez ([[Media:CIMIT-BIRN-update-2006-05-30.ppt| Steve's Slides]])([[Media:CIMIT-2006-IGSTK-InsightJournal.ppt| Luis' Slides]])
* [[Training:DTI_Workshop|May 26, 2006 UNC-Chapel Hill NA-MIC DTI Analysis Training Workshop]]
* [[Algorithms:Core1Visit_May06|May 23-24, 2006: NA-MIC Core 1 meeting at UNC]]
* [[DBP:Harvard:Collaboration:GTech#Progress|May 15 2006: Delphine Nain at the PNL]]
* [[Slicer:StevePieper_RonKikinis_VisitToDartmouth_051906|May 19, 2006: Steve Pieper and Ron Kikinis Visit to Dartmouth]]
* [[Training:NIH_Workshop_2006|April 27, 2006: NA-MIC Training Workshop at NIH]]
* April 24, 2006 [http://www.nimh.nih.gov/neuroinformatics/springagenda2006.cfm The Human Brain Project: Linking Within and Beyond] Natcher Conference Center, NIH Campus, Bethesda, Maryland: National Alliance for Medical Image Computing: Science & Technology of One National Center for Biomedical Computing [[Media:NA-MIC_Kit_revised.ppt| (this is a slightly modified version of the presentation)]]
* [[DBP:Harvard:Collaboration:Toronto|April 12-13, 2006: James Kennedy and Aristotle Voineskos at the PNL]]
* [[Training:MIND_Institute_Workshop_Spring_2006|April 10-11, 2006: NA-MIC Training Workshop at MIND Institute, New Mexico]]
* Steve Pieper presented the NA-MIC Kit at [http://www.biomedicalimaging.org ISBI] 2006 on April 7, 2006 ([[Media:NA-MIC-2006-04-07-ISBI.ppt| Slides]], [[Media:Pieper-ISBI-2006-revised.pdf| Paper]]).
* [http://www.slicer.org/slicerWiki/index.php/Slicer3:_Alpha1_Meeting April 3-4, 2006: Design Review and Work meeting on Slicer3 (alpha1 release)]
* [[DBP:Sylvain_Doug_visit_Dartmouth_Feb_22_2006|Feb 22, 2006: Sylvain Bouix to visit Dartmouth]]
* [[Engineering:Slicer3_and_GPU|Feb 22-24, 2006: Meeting at Kitware to discuss Slicer3 (thurs) and GPU programming (fri)]]
* [[IGT:Workshop_Feb_2006|Feb 20-23, 2006: IGT and FUS Workshops]]
* [[Training:User_Workshop_SPL_Winter_HCNR_2005|January 24, 2006: HCNR User Training Workshop at the Surgical Planning Lab in Boston]]
* '''[[AHM_2006:AHM_2006|January 8-13, 2006: The Second All-Hands-Meeting and Programming Event in Salt Lake City, Utah]]'''

=== 2005 ===

* [[DBP:Marek_Kubicki_visit_Dartmouth_December_20_2005|December 20, 2005: Marek Kubicki visit to Dartmouth]]
* [[Collaboration:GT-UCI|December 17, 2005: Jim Fallon from UC Irvine visit to Georgia Tech for work on Rule-Based Segmentation]]
* [[DBP:Andy_Saykin_visit_BWH_December_14_2005|December 14, 2005: Andy Saykin and Group visit to Brigham and Women's Hospital]]
* [[DBP:Dartmouth_Harvard_Slicer_Training_12_01_2005|December 1, 2005 Dartmouth Group Slicer Training Followup at Harvard, 1249 Boylston]]
* [http://rsna2005.rsna.org/rsna2005/V2005/index.cvn November 27-December 2, RSNA 2005, Chicago: Slicer session at the Open source imaging tools workshop ]
* [[DBP:Harvard:Collaboration:GTech#Progress|November 18 2005: Ramsey Al-Hakim at the PNL]]
* [[Collaboration:GT-Kitware|November 17-18, 2005: John Melonakos at Kitware -- Bayesian Classification Filter addition to ITK]]
* [[IGT:2005_Nov_16_IGT_Consortium_Kickoff|November 16, 2005: IGT Consortium Kickoff]]
* [[Collaboration:UNC-UCI|November 16, 2005: Jim Fallon and Martina from UC Irvine visit to UNC on DTI tools and clinical projects]]
* [[Engineering:Slicer3.0_November_15_2005|November 15, 2005, noon-5pm: Slicer 3.0 Meeting at SPL, Boston]]
* [[Dissemination:MICCAI_Workshop_2005|ISC and NA-MIC Workshop on Open Source Toolkits, Applications, and their uses in Medical Image Analysis at MICCAI]]
* October 29, 2005 (Thursday): Informal NA-MIC Lunch at MICCAI, Palm Springs, CA
* [[2005_AHM:_3D_Slicer/Freesurfer_Workshop|October 20, 2005: Slicer Training Workshop, AHM BIRN San Diego, California]]
* [[Dissemination:EPFL_Workshop_2005|October 5-7, 2005, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland: Advanced ITK and Slicer Workshop]]
* [[Collaboration:UNC-PNL|October 7, 2005, UNC visit at the Psychiatry NeuroImaging Laboratory]]
* [[Training:User_Workshop_SPL_Fall_2005|September 30, 2005. User Training Workshop at the SPL on Boylston St, Boston.]]
* [[Engineering:Core_3_Programming_Week#1_Feedback|September 26-27-28, 2005. DBP and Engineering Session on Feedback from Programming Week Projects, and Planning the next 6-months]]
* [[Training:User_Workshop_MGH_Summer_2005|September 16, 2005. User Training Workshop at MGH.]]
* [[Dissemination:CSB2005|August 11 2005 Invited Lecture about NA-MIC.]]
* [[Collaboration:Workshop_July_20_2005|July 20, 2005. UNC visit of Georgia Tech for collaborative work on shape and DTI algorithms.]]
* [[Engineering:Programmers_Week_Summer_2005|June 27-July 1, 2005. Programming Week in Boston]]
* [[Dissemination:NCRR_NIBIB_PI_Meeting_June_22-23_2005|June 22-23, 2005, NCRR/NIBIB PI Meeting]]
* [[Collaboration:Workshop_June_16-19_2005|June 16-19, 2005. Georgia Tech visit of UC-Irvine for collaborative work on anatomically accurate algorithms.]]
* [[Dissemination:Workshop_May_26-27_2005|May 26-27, 2005. User Training and Dissemination Workshop at Dartmouth]]
* [[DBP:Andy_Saykin_visit_BWH_April_21_2005|April 21-22, 2005: Andy Saykin visit to Brigham and Women's Hospital and MIT]]
* March 25, 2005. University of Utah visit of Harvard VA for collaborative work on DTMRI.
* [[FBIRN:retreat2005|March 21-23,2005: fBIRN Retreat in Irvine with User Tutorials for Slicer, Brains2 Wednesday on March 23]]
* [[AHM_2005:Main|February 20-22, 2005 AHM in SLC]]
* [[Dissemination:Workshop_Feb17-18_2005|February 17-18, 2005 Dissemination Workshop at UCSD]]
* January 26, 2005. Slicer User Workshop at BWH: [http://www.slicer.org/slicerWiki/index.php/Slicer:User_Workshop_Jan26 Information for Atendees]
* January 24-25, 2005. Dissemination Workshop at [[Dissemination:Workshop_Jan24-25_Boston|Agenda]], [[Dissemination:Workshop_Jan2005_Interested_Attendee_List|List of Participants]], [[Talk:Dissemination:Workshop_Jan24-25_Boston_Feedback|Attendee Feedback]]
* January 17-18, 2005. [http://www.imaginggenetics.uci.edu First International Imaging Genetics Conference] at the Beckman Center of the National Academy of Sciences in Irvine, CA.

=== 2004 ===

* December 9-10, 2004. Dissemination Workshop at SPL, BWH:[[Dissemination:Workshop_Dec9-10_Boston|Agenda]], [[Dissemination:Workshop_Dec9-10_Boston_Presentations|Presentations]], [[Dissemination:Workshop_Dec9:10_Attendees_List|List of Participants]], [[Dissemination:Workshop_Dec9:10_Summary|Summary]],[[Talk:Dissemination:Workshop_Dec9-10_Boston_Feedback|Attendee Feedback]]
* November 16, 2004. Dissemination Meeting: [[Dissemination:Kickoff_Agenda|Agenda]], [[Dissemination:Kickoff_Summary|Summary]]
* [[Kickoff:Main|October 15, 2004. NA-MIC Kickoff Meeting]]

===Testing Google Calender===

[http://www.google.com/calendar/embed?src=r8bddigidepgvog24cpfk1bjgs%40group.calendar.google.com&ctz=America/New_York NA-MIC Calendar on Google]

2009 prostate segmentation challenge MICCAI

2009-06-25T21:04:31Z

Elhawary: /* Evaluation scheme */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rule=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Download=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#Subject data (for contest on-site)

=Contestants Results Submission=
Use the following template to upload results:
#Contestant Name(s), Contestant Institution(s), [[MICCAI2009Prostate-BWH | Link to template]]

For example:
#Nobuhiko Hata, PhD, Brigham and Women's Hospital, [[MICCAI2009Prostate-BWH]]

=Evaluation scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

2009 prostate segmentation challenge MICCAI

2009-06-25T20:56:36Z

Elhawary: /* Evaluation scheme */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rule=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Download=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#Subject data (for contest on-site)

=Contestants Results Submission=
Use the following template to upload results:
#Contestant Name(s), Contestant Institution(s), [[MICCAI2009Prostate-BWH | Link to template]]

For example:
#Nobuhiko Hata, PhD, Brigham and Women's Hospital, [[MICCAI2009Prostate-BWH]]

=Evaluation scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient. The methods are available as a command line module in Slicer3 called RegistrationMetrics under the Registration Option in Modules tab.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

2009 prostate segmentation challenge MICCAI

2009-06-25T20:55:29Z

Elhawary: /* Contestants Results Submission */

=Goal=
To discuss the state-of-art for prostate segmentation of MR images in the context of MRI-guided prostate therapy, through comparison of the segmentation methods using sample data.

=Workshop=
Thursday - 24th September
at MICCAI 2009 (London, UK)
http://www.miccai2009.org/

=Sponsor=
*National Center for Image Guided Therapy (NCIGT, PI: Jolesz, Tempany)
*National Alliance for Medical Image Computing (NA-MIC, PI: Kikinis)

=Organizer=
*Nobuhiko Hata (co-lead organizer, BWH, Boston, MA, Email hata at-mark bwh.harvard.edu)
*Gabor Fichtinger (co-lead organizer, Queens Univ, Kingston, ON)
*Sota Oguro (Data managing, BWH, Boston, MA)
*Haytham Elhawary (Slicer module for validation, BWH, Boston, MA)
*Theo van Walsum (Organizer of the umbrella MICCAI workshop "3D segmentation in Clinic").

=Rule=
#Download 3D Slicer for viewing and manipulating the dataset we provide below. All files to be downloaded are available in the Download section below.
#(Optional) Download the prostate image processing tutorial and its associated images.
#Download the MR images of the prostate and the manually segmented gland (as training data). The segmentations have been performed by expert radiologists.
#Perform the segmentation of the prostate gland with your algorithm. The segmentation result should be [http://teem.sourceforge.net/nrrd/index.html NRRD format ] and loadable to Slicer. The segmentation result should be aligned to the original MR image when loaded to Slicer. In addition the segmentation result should be a label map image maintaining the same pixel intensity value assigned to each segmentation image in the training dataset.
#Create an account at this NA-MIC wiki: [http://wiki.na-mic.org/Wiki/index.php/Special:RequestAccount Account Request]. Once your account has been accepted, upload the NRRD file with your segmentation results in the Contestants section of this page, along with the paper describing the method developed and applied.
#The organizer will score the segmentation result by comparing it with the manual segmentation of the expert using the announced comparison scheme: 95% Hausdorff distance and Dice Similarity Coeeficient.
#Repeat step above at the workshop with the competition dataset available on the day.
Those who submit paper and make their code available at Insight Journal (http://www.insight-journal.org/) will get extra points.
Those who submit paper and make their code available as a Slicer module will get extra recognition at the contest.

=Dates=
#Training data available: June 2009
#Submission of results of segmented training data: starts June 25th 2009 and continues until the paper submission deadline.
#Submission of papers (with results) (no page limit, Springer/MICCAI format/PDF file): July 20, 2009
#Workshop: September 2009

=Download=
#[http://www.slicer.org/pages/Special:SlicerDownloads 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/IGT:ToolKit/Prostate-Planning Prostate MRI tutorial for 3D Slicer]
#[http://wiki.na-mic.org/Wiki/index.php/Training_Data_Prostate_Segmentation_Challenge_MICCAI09 Training MRI data with expert's segmentation]
#[http://prostatemrimagedatabase.com/Database/000132/00003/001/index.html Subject data (for paper submission)]
#Subject data (for contest on-site)

=Contestants Results Submission=
Use the following template to upload results:
#Contestant Name(s), Contestant Institution(s), [[MICCAI2009Prostate-BWH | Link to template]]

For example:
#Nobuhiko Hata, PhD, Brigham and Women's Hospital, [[MICCAI2009Prostate-BWH]]

=Evaluation scheme=
Two evaluation methods are used to determine the accuracy of the segmentation: the 95% Hausdorff distance and the Dice Similarity Coefficient.

*95% Hausdorff distance (HD)
The HD is calculated between the contours of the segmented prostates which result from the manual segmentation and the proposed contestant algorithm. The HD is the maximum distance of a set to the nearest point in another set. A more formal description of the HD can be found in the following publication:

**Archip N, Clatz O, Whalen S, et al. Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007; 35:609-624.

*Dice Similarity Coefficient (DSC)
The DSC, which has been extensively used in the evaluation of segmentation, gives a measure of the volumetric overlap between the two segmented prostates. The DSC indicates twice the number of voxels which are shared by or are common to both segmentations divided by the total number of voxels in both datasets. The DSC can range from zero to one, where zero is no alignment between segmented glands and one is perfect alignment. An example of the DSC used in prostate segmetation can be found at:

**A. Bharatha, M. Hirose, N. Hata, S. K. Warfield, M. Ferrant, K. H. Zou, E. Suarez-Santana, J. Ruiz-Alzola, A. D'Amico, R. A. Cormack, R. Kikinis, F. A. Jolesz, and C. M. Tempany, "Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging," Med Phys, vol. 28(12), pp. 2551-60, 2001.

MICCAI2009Prostate-BWH

2009-06-25T20:54:45Z

Elhawary:

MICCAI2009Prostate-BWH

2009-06-25T20:53:53Z

Elhawary:

MICCAI2009Prostate-BWH

2009-06-25T20:52:31Z

Elhawary:

__NOTOC__
==Instructions for Use of this Template==
#Please create a new wiki page with a unique title for your segmentation results using the convention ContestantName_Results
#Copy the entire text of this page into the page created above
#Link the created page into the list of Contestant Results
#Delete this section from the created page
#Send an email to elhawary at bwh.harvard.edu if experience problems

==Contestant Names and Institutions==
* BWH: Nobuhiko Hata, Sota Oguro, Haytham Elhawary
* Queens: Gabor Fichtinger

==NRRD files==
* Upload segmented prostate images to this section
* You can also upload a table with the DSC and HD results as expressed by the Slicer module

==References==
*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
* Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. [http://www.na-mic.org/publications/item/view/292 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
* Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. [http://www.na-mic.org/publications/item/view/1122 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
* Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .

MICCAI2009Prostate-BWH

2009-06-25T20:52:19Z

Elhawary:

__NOTOC__

==Instructions for Use of this Template==
#Please create a new wiki page with a unique title for your segmentation results using the convention ContestantName_Results
#Copy the entire text of this page into the page created above
#Link the created page into the list of Contestant Results
#Delete this section from the created page
#Send an email to elhawary at bwh.harvard.edu if experience problems

==Contestant Names and Institutions==
* BWH: Nobuhiko Hata, Sota Oguro, Haytham Elhawary
* Queens: Gabor Fichtinger

==NRRD files==
* Upload segmented prostate images to this section
* You can also upload a table with the DSC and HD results as expressed by the Slicer module

==References==
*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
* Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. [http://www.na-mic.org/publications/item/view/292 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
* Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. [http://www.na-mic.org/publications/item/view/1122 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
* Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .

MICCAI2009Prostate-BWH

2009-06-25T20:51:57Z

Elhawary: /* NRRD files */

__NOTOC__
<gallery>
Image:PW2009-v3.png|[[2009_Summer_Project_Week|Project Week Main Page]]
Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
</gallery>

==Instructions for Use of this Template==
#Please create a new wiki page with a unique title for your segmentation results using the convention ContestantName_Results
#Copy the entire text of this page into the page created above
#Link the created page into the list of Contestant Results
#Delete this section from the created page
#Send an email to elhawary at bwh.harvard.edu if experience problems

==Contestant Names and Institutions==
* BWH: Nobuhiko Hata, Sota Oguro, Haytham Elhawary
* Queens: Gabor Fichtinger

==NRRD files==
* Upload segmented prostate images to this section
* You can also upload a table with the DSC and HD results as expressed by the Slicer module

==References==
*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
* Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. [http://www.na-mic.org/publications/item/view/292 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
* Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. [http://www.na-mic.org/publications/item/view/1122 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
* Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .