RSNA 2012 - Revision history

Grundlett: Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

2017-07-10T18:07:32Z

Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

Spujol at 03:29, 5 February 2013

2013-02-05T03:29:08Z

Spujol: /* 3D Interactive Visualization of DICOM images for Radiology Applications */

2013-02-05T03:28:21Z

3D Interactive Visualization of DICOM images for Radiology Applications

Spujol: /* Quantitative Imaging Reading Room */

2013-02-05T03:24:39Z

Quantitative Imaging Reading Room

Spujol at 03:15, 5 February 2013

2013-02-05T03:15:50Z

Spujol at 21:51, 4 February 2013

2013-02-04T21:51:53Z

Spujol at 21:50, 4 February 2013

2013-02-04T21:50:18Z

Spujol: /* 3D Interactive Visualization of DICOM images for Radiology Applications */

2013-02-04T21:47:53Z

3D Interactive Visualization of DICOM images for Radiology Applications

Fedorov at 01:26, 12 December 2012

2012-12-12T01:26:50Z

Fedorov at 01:20, 12 December 2012

2012-12-12T01:20:51Z

@@ Line 58: / Line 58: @@
 Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This workshop will begin with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER (www.SLICER.org). Specific hands-on demonstrations with [[https://www.dropbox.com/s/xgfqtr2rzoddht6/3DSlicerData_QuantitativeImaging_Sunday_Nov25_2012_updated.zip quantitative Imaging data]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 The [[Media:QuantitativeImaging_RSNA2012_SoniaPujol.pdf | course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.2/Training 3D Slicer Compendium].
+For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.2/Training 3D Slicer Compendium].
 *CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics
 *AMA PRA Category 1 Credits™: 1.5
@@ Line 74: / Line 74: @@
 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
 This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2012.rsna.org  98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2012)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[Media:3DVisualizationDICOM_RadiologyApplications_SoniaPujol_RSNA2012.pdf | 3D Visualization course]] along with the tutorial [https://www.dropbox.com/s/7rexukba5iogjm6/3DSlicerData_3DVisualization_RSNA2012.zip 3D Visualization datasets] aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software.
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.2/Training 3D Slicer Compendium].
+For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.2/Training 3D Slicer Compendium].
 *CME Content Code: Informatics
 *CME Credits Categories:

@@ Line 58: / Line 58: @@
 Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This workshop will begin with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER (www.SLICER.org). Specific hands-on demonstrations with [[https://www.dropbox.com/s/xgfqtr2rzoddht6/3DSlicerData_QuantitativeImaging_Sunday_Nov25_2012_updated.zip quantitative Imaging data]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 The [[Media:QuantitativeImaging_RSNA2012_SoniaPujol.pdf | course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
 *CME Credit Categories: Biomarkers/Quantitative Imaging; Informatics
 *AMA PRA Category 1 Credits™: 1.5
@@ Line 73: / Line 74: @@
 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
 This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2012.rsna.org  98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2012)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[Media:3DVisualizationDICOM_RadiologyApplications_SoniaPujol_RSNA2012.pdf | 3D Visualization course]] along with the tutorial [https://www.dropbox.com/s/7rexukba5iogjm6/3DSlicerData_3DVisualization_RSNA2012.zip 3D Visualization datasets] aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software.
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.2/Training| 3D Slicer Compendium].
+For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.2/Training 3D Slicer Compendium].
 *CME Content Code: Informatics
 *CME Credits Categories:

@@ Line 73: / Line 73: @@
 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
 This course will be offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC),  at the [http://rsna2012.rsna.org  98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2012)]. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The [[Media:3DVisualizationDICOM_RadiologyApplications_SoniaPujol_RSNA2012.pdf | 3D Visualization course]] along with the tutorial [https://www.dropbox.com/s/7rexukba5iogjm6/3DSlicerData_3DVisualization_RSNA2012.zip 3D Visualization datasets] aim to introduce translational clinical scientists to the basics of viewing and interacting in 3D with DICOM volumes and anatomical models using the 3DSlicer software.
 *CME Content Code: Informatics
 *CME Credits Categories:

@@ Line 87: / Line 87: @@
 =Quantitative Imaging Reading Room =
 DSlicer: An open-source platform for segmentation, registration, quantitative imaging and 3D visualization of multi-modal image data. The 3DSlicer exhibit will consist in a series of thematic demonstrations using multi-modal image datasets, which include MRI, CT, PET and DCE. A team of 3DSlicer experts will be running the demonstrations with sample datasets or, where appropriate, data provided by attendees, and will deliver a series of daily 60-minute Meet-the-Experts sessions. The hands-on sessions will demonstrate 3D visualization functionalities (e.g. volume rendered head, thoracic and abdominal CT scans, surface rendered atlases of brain, knee, and abdomen), segmentation tools (e.g. semi-automated segmentation of a glioma case, MRI-based automated parcellation of the human brain), quantitative imaging features (e.g. longitudinal analysis of meningioma growth, PET/CT quantitative assessment of tumor response, traumatic brain injury cases follow-up) as well as image-guided therapy applications (e.g. exploration of peritumoral white matter for neurosurgical planning, registration of prostate imaging data). In addition, the exhibit will present new workflows for full brain tractography and multi-volume exploration of prostate DCE MRI data.
 === Teaching Faculty ===

@@ Line 55: / Line 55: @@
 =Quantitative Medical Imaging for Clinical Research and Practice =
 Technological breakthroughs in medical imaging hardware and the emergence of increasingly sophisticated image processing software tools permit the visualization and display of complex anatomical structures with increasing sensitivity and specificity. This workshop will begin with an introductory presentation of state-of-the-art, clinical examples of quantitative imaging biomarkers for diagnosis and clinical trial outcome measures. Cases from multiple imaging modalities and from multiple organ systems will be highlighted to illustrate the depth and breath of this field. Participants will then be led through a series of tutorials on the basics of viewing and processing DICOM volumes in 3D using 3D SLICER (www.SLICER.org). Specific hands-on demonstrations with [[https://www.dropbox.com/s/xgfqtr2rzoddht6/3DSlicerData_QuantitativeImaging_Sunday_Nov25_2012_updated.zip quantitative Imaging data]] will focus on basic use of 3D Slicer software, quantitative measurements from PET/CT studies, and volumetric analysis of meningioma.
 The [[Media:QuantitativeImaging_RSNA2012_SoniaPujol.pdf | course]] is offered in collaboration with the Johns Hopkins Institute for Clinical and Translational Research.
@@ Line 86: / Line 87: @@
 =Quantitative Imaging Reading Room =
 DSlicer: An open-source platform for segmentation, registration, quantitative imaging and 3D visualization of multi-modal image data. The 3DSlicer exhibit will consist in a series of thematic demonstrations using multi-modal image datasets, which include MRI, CT, PET and DCE. A team of 3DSlicer experts will be running the demonstrations with sample datasets or, where appropriate, data provided by attendees, and will deliver a series of daily 60-minute Meet-the-Experts sessions. The hands-on sessions will demonstrate 3D visualization functionalities (e.g. volume rendered head, thoracic and abdominal CT scans, surface rendered atlases of brain, knee, and abdomen), segmentation tools (e.g. semi-automated segmentation of a glioma case, MRI-based automated parcellation of the human brain), quantitative imaging features (e.g. longitudinal analysis of meningioma growth, PET/CT quantitative assessment of tumor response, traumatic brain injury cases follow-up) as well as image-guided therapy applications (e.g. exploration of peritumoral white matter for neurosurgical planning, registration of prostate imaging data). In addition, the exhibit will present new workflows for full brain tractography and multi-volume exploration of prostate DCE MRI data.
 === Teaching Faculty ===

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-<gallery widths="300px" perrow="4">
+<gallery widths="350px" heights="250px" perrow="3">
 Image:3DSlicer-RSNA2012_1.jpg
 Image:3DSlicer-RSNA2012_2.jpg
 Image:3DSlicer-RSNA2012_3.jpg
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 Image:3DSlicer-RSNA2012_6.jpg
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 </gallery>
 ==Agenda==