Difference between revisions of "RSNA 3D Visualization Course"
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[[image:Fig5_ChestCT_Slicer.png|right|300 px]] | [[image:Fig5_ChestCT_Slicer.png|right|300 px]] | ||
The '''[http://rsna2014.rsna.org/pdf/11033051.pdf 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 4 software]. | The '''[http://rsna2014.rsna.org/pdf/11033051.pdf 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 4 software]. | ||
| − | For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium]. | + | For additional training materials on the software, please visit the [http://www.slicer.org/slicerWiki/index.php/Documentation/4.3/Training 3D Slicer Compendium]. [https://www.dropbox.com/sh/3n53md8eqvwrl6x/AAC0bvVjft_OZEeRO8Uj-2-Ha?dl=0 Course datasets available here] |
*CME Content Code: Informatics | *CME Content Code: Informatics | ||
*CME Credits Categories: | *CME Credits Categories: | ||
Revision as of 23:23, 1 December 2014
Home < RSNA 3D Visualization Course
The 3D Visualization of DICOM Images for Radiological Applications course will be offered by the Neuroimage Analysis Center (NAC), at the 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 Slicer4 version 4 software. For additional training materials on the software, please visit the 3D Slicer Compendium. Course datasets available here
- CME Content Code: Informatics
- CME Credits Categories:
- AMA PRA Category 1 Credits™: 1.5
- ARRT Category A+ Credit: 1.5
Teaching Faculty
- Sonia Pujol, Ph.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
- Ron Kikinis, M.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA.
- Kitt Shaffer, M.D. Ph.D., Boston University School of Medicine, Department of Radiology, Boston Medical Center, Boston, MA.
Logistics
- Date: Monday December 1, 12:30-2:00 pm
- Location: Room S401AB, McCormick Conference Center, Chicago, IL.
- Registration: Sold-out
