Difference between revisions of "RSNA 3D Visualization Course"
From NAMIC Wiki
| (7 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
| + | {| class="wikitable" | ||
| + | |colspan="4"|[[image:RSNABanner_2014.jpg]] | ||
| + | |- | ||
| + | |style="width:25%" |[[Image:NAMIC.jpg]] | ||
| + | |style="width:25%" |[[Image:NCIGTlogo.gif]] | ||
| + | |style="width:25%" |[[Image:Logo_nac.gif]] | ||
| + | |style="width:25%"|[[Image:RSNA_foundation.png ]] | ||
| + | |} | ||
| + | |||
[[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:// | + | 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 [ | + | 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 Content Code: Informatics | ||
*CME Credits Categories: | *CME Credits Categories: | ||
*AMA PRA Category 1 Credits™: 1.5 | *AMA PRA Category 1 Credits™: 1.5 | ||
*ARRT Category A+ Credit: 1.5 | *ARRT Category A+ Credit: 1.5 | ||
| + | [[Image:RSNA2014.JPG|400px]] | ||
=== Teaching Faculty === | === Teaching Faculty === | ||
*Sonia Pujol, Ph.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA. | *Sonia Pujol, Ph.D., Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston MA. | ||
| Line 11: | Line 21: | ||
*Kitt Shaffer, M.D. Ph.D., Boston University School of Medicine, Department of Radiology, Boston Medical Center, Boston, MA. | *Kitt Shaffer, M.D. Ph.D., Boston University School of Medicine, Department of Radiology, Boston Medical Center, Boston, MA. | ||
===Logistics === | ===Logistics === | ||
| − | *Date: Monday | + | *Date: Monday December 1st, 10:30-12:00 pm |
*Location: Room S401AB, McCormick Conference Center, Chicago, IL. | *Location: Room S401AB, McCormick Conference Center, Chicago, IL. | ||
*Nov.9 update: course is sold-out. | *Nov.9 update: course is sold-out. | ||
| + | |||
---- | ---- | ||
Latest revision as of 16:52, 28 March 2019
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 5 software. For additional training materials on the software, please visit the 3D Slicer Compendium. Course datasets: 3DVisualization_DICOM_images_part1.zip and 3DVisualization_DICOM_images_part2.zip
- 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 1st, 10:30-12:00 pm
- Location: Room S401AB, McCormick Conference Center, Chicago, IL.
- Nov.9 update: course is sold-out.
