Difference between revisions of "CTSC:Slicer handson.022410"

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(Created page with ''''The objectives of the workshop are''': * to enhance interpretation of DICOM images through the use of 3D visualization and analysis * to gain experience with interactive, qua…')
 
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'''The objectives of the workshop are''':
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Back to [[Collaboration:Harvard_CTSC|Collaboration:Harvard_CTSC]]
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<br>
  
* to enhance interpretation of DICOM images through the use of 3D visualization and analysis
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=3D Slicer Medical Image Data Visualization Hands-On Workshop=
* to gain experience with interactive, quantitative assessment of complex anatomical structures and functional images
 
* to present current directions of quantitative imaging as a biomarker in clinical trials
 
  
'''Upon completion of this course, participants should be able to'''
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<gallery>
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Image:Catalyst_logo_final.jpg|[http://catalyst.harvard.edu Harvard CTSC]
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Image:NAMIC 380x463.jpg|[http://www.na-mic.org National Alliance for Medical Image Computing]
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Image:Nac.png|[http://nac.spl.harvard.edu/ Neuroimage Analysis Center]
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</gallery>
  
* Describe the methods used for basic analysis of quantitative imaging parameters
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== Syllabus ==
* Describe the principles of image registration, segmentation, and volume measurement, and select and use appropriate software for 3D reconstruction
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The purpose of this tutorial is to provide the members of the research community with a practical experience of the capabilities of the Open Source 3D Slicer software platform. The curriculum is '''hands-on''' which means that participants will have access to computers.
* Identify key analysis and acquisition requirements for multi-center quantitative studies
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The course is divided into two sections: an introduction on the concepts of 3D visualization, an experimental hands-on training session using an MR DICOM dataset of the brain and a demonstration on how to use Slicer to generate quantitative image biomarkers from FDG-PET/CT.
* Evaluate the impact of quantitative analysis methodology on their research interest
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==Target Audience==
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Radiology Residents and Fellows and Translational Clinical Scientists who are interested in medical image computing
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== Learning Objectives ==
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The learning objectives of the workshop are (a) to enhance interpretation of DICOM images through the use of 3D visualization, (b) to gain experience with interactive assessment of complex anatomical structures (c) to present current directions of open-source computer graphics applications in Radiology such as generation of quantitative imaging biomarkers for FDG-PET/CT. After completion of the workshop, participants will be able to visualize and analyze their own datasets within the 3DSlicer platform.
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== Course Faculty ==
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* Valerie Humblet, Ph.D. Harvard Catalyst, The Harvard CTSA, Harvard Medical School, Boston, MA
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* Wendy Plesniak, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women's Hospital, Boston, MA
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== Logistics and Registration ==
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*Date: Wednesday February 24, 2010
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*Time: 12-1 pm
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*Location: Countway Library (room 403), Harvard Medical School, 10 Shattuck Street, Boston
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*Contact for registration: e-mail [mailto:Image_consult@catalyst.harvard.edu Valerie Humblet]
  
'''Workshop outline'''
 
  
* 15 min (Kasia Macura): Overview of imaging biomarkers and their use in clinical trials
 
* 15 min (Randy Gollub): Generic principles of image registration, segmentation, visualization (technical aspects)
 
* 60 min (Jeff Yap+ others): Description and hands-on interactive demo for each of the imaging biomarkers and requirements for standardized acquisition in multi-center trials (e.g. RSNA QIBA)
 
**DCE-MRI (pre/post-therapy breast tumor perfusion)
 
**volumetric CT (e.g. lung tumor segmentation and volumetric measurement)
 
 
**FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification).
 
**FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification).

Revision as of 19:56, 5 February 2010

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3D Slicer Medical Image Data Visualization Hands-On Workshop

Syllabus

The purpose of this tutorial is to provide the members of the research community with a practical experience of the capabilities of the Open Source 3D Slicer software platform. The curriculum is hands-on which means that participants will have access to computers. The course is divided into two sections: an introduction on the concepts of 3D visualization, an experimental hands-on training session using an MR DICOM dataset of the brain and a demonstration on how to use Slicer to generate quantitative image biomarkers from FDG-PET/CT.

Target Audience

Radiology Residents and Fellows and Translational Clinical Scientists who are interested in medical image computing

Learning Objectives

The learning objectives of the workshop are (a) to enhance interpretation of DICOM images through the use of 3D visualization, (b) to gain experience with interactive assessment of complex anatomical structures (c) to present current directions of open-source computer graphics applications in Radiology such as generation of quantitative imaging biomarkers for FDG-PET/CT. After completion of the workshop, participants will be able to visualize and analyze their own datasets within the 3DSlicer platform.

Course Faculty

  • Valerie Humblet, Ph.D. Harvard Catalyst, The Harvard CTSA, Harvard Medical School, Boston, MA
  • Wendy Plesniak, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women's Hospital, Boston, MA


Logistics and Registration

  • Date: Wednesday February 24, 2010
  • Time: 12-1 pm
  • Location: Countway Library (room 403), Harvard Medical School, 10 Shattuck Street, Boston
  • Contact for registration: e-mail Valerie Humblet


    • FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification).