RSNA 3D Visualization Course - Revision history

Spujol at 16:52, 28 March 2019

2019-03-28T16:52:41Z

Spujol at 16:50, 28 March 2019

2019-03-28T16:50:41Z

Spujol at 16:47, 28 March 2019

2019-03-28T16:47:54Z

Spujol at 16:46, 28 March 2019

2019-03-28T16:46:48Z

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

2017-07-10T18:07:35Z

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

Spujol at 15:30, 23 March 2016

2016-03-23T15:30:29Z

Spujol at 15:29, 23 March 2016

2016-03-23T15:29:42Z

Spujol at 21:53, 11 November 2015

2015-11-11T21:53:09Z

Spujol at 20:45, 9 November 2015

2015-11-09T20:45:25Z

Spujol: /* Logistics */

2015-11-09T20:44:41Z

Logistics

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 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
-The '''3D Visualization of DICOM Images for Radiological Applications''' course will be offered by the Neuroimage Analysis Center (NAC),  at the [http://rsna2015.rsna.org  100th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2014)]. As part of the outreach mission of this NIH funded National Center, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The 3D Visualization course with pre-computed 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. The course uses the [http://www.slicer.org Slicer4 version 5 software].
+The '''3D Visualization of DICOM Images for Radiological Applications''' course will be offered by the Neuroimage Analysis Center (NAC),  at the [http://rsna2014.rsna.org  100th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2014)]. As part of the outreach mission of this NIH funded National Center, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The 3D Visualization course with pre-computed 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. The course uses the [http://www.slicer.org Slicer4 version 5 software].
 For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.5/Training 3D Slicer Compendium]. Course datasets: [https://www.slicer.org/wiki/File:3DVisualization_DICOM_images_part1.zip 3DVisualization_DICOM_images_part1.zip] and [https://www.slicer.org/wiki/File:3DVisualization_DICOM_images_part2.zip 3DVisualization_DICOM_images_part2.zip]
 *CME Content Code: Informatics

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 *Kitt Shaffer, M.D. Ph.D., Boston University School of Medicine, Department of Radiology, Boston Medical Center, Boston, MA.
 ===Logistics ===
-*Date: Monday November 30, 10:30-12:00 pm
+*Date: Monday December 1st, 10:30-12:00 pm
 *Location: Room S401AB, McCormick Conference Center, Chicago, IL.
 *Nov.9 update: course is sold-out.
 ----

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← Older revision		Revision as of 16:46, 28 March 2019
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	[[image:Fig5_ChestCT_Slicer.png\|right\|300 px]]		[[image:Fig5_ChestCT_Slicer.png\|right\|300 px]]
	The '''3D Visualization of DICOM Images for Radiological Applications''' course will be offered by the Neuroimage Analysis Center (NAC), at the [http://rsna2015.rsna.org 100th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2014)]. As part of the outreach mission of this NIH funded National Center, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The 3D Visualization course with pre-computed 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. The course uses the [http://www.slicer.org Slicer4 version 5 software].		The '''3D Visualization of DICOM Images for Radiological Applications''' course will be offered by the Neuroimage Analysis Center (NAC), at the [http://rsna2015.rsna.org 100th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2014)]. As part of the outreach mission of this NIH funded National Center, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The 3D Visualization course with pre-computed 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. The course uses the [http://www.slicer.org Slicer4 version 5 software].

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 [[image:Fig5_ChestCT_Slicer.png|right|300 px]]
 The '''3D Visualization of DICOM Images for Radiological Applications''' course will be offered by the Neuroimage Analysis Center (NAC),  at the [http://rsna2015.rsna.org  100th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2014)]. As part of the outreach mission of this NIH funded National Center, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The 3D Visualization course with pre-computed 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. The course uses the [http://www.slicer.org Slicer4 version 5 software].
-For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.5/Training 3D Slicer Compendium]. Course datasets: [http://www.slicer.org/slicerWiki/index.php/File:3DVisualization_DICOM_images_part1.zip 3DVisualization_DICOM_images_part1.zip] and [http://www.slicer.org/slicerWiki/index.php/File:3DVisualization_DICOM_images_part2.zip 3DVisualization_DICOM_images_part2.zip]
+For additional training materials on the software, please visit the [https://www.slicer.org/wiki/Documentation/4.5/Training 3D Slicer Compendium]. Course datasets: [https://www.slicer.org/wiki/File:3DVisualization_DICOM_images_part1.zip 3DVisualization_DICOM_images_part1.zip] and [https://www.slicer.org/wiki/File:3DVisualization_DICOM_images_part2.zip 3DVisualization_DICOM_images_part2.zip]
 *CME Content Code: Informatics
 *CME Credits Categories:

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 *AMA PRA Category 1 Credits™: 1.5
 *ARRT Category A+ Credit: 1.5
-[[Image:RSNA2014.JPG|800px]]
+[[Image:RSNA2014.JPG|400px]]
 === Teaching Faculty ===
 *Sonia Pujol, Ph.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.