Difference between revisions of "Events:RSNA2008"
From NAMIC Wiki
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There will be a Slicer 3 training event at RSNA on Monday Dec 1 2008 | There will be a Slicer 3 training event at RSNA on Monday Dec 1 2008 | ||
− | = | + | =Introduction= |
− | + | '''This page is very preliminary and subject to change''' | |
− | |||
− | ==Elements of the tutorial | + | This course is offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC) and the National Center for Image Guided Therapy. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of free, open source software to enable research. The course aims to introduce translational clinical scientist to the capabilities of the 3D Slicer software. |
− | + | ||
+ | =Target Audience= | ||
+ | Radiology Residents and Fellows others who are interested in medical image computing | ||
+ | |||
+ | =Elements of the tutorial= | ||
+ | ==Hands-on== | ||
*Loading image data from Xnat | *Loading image data from Xnat | ||
*Basic visualization in Slicer | *Basic visualization in Slicer | ||
Line 14: | Line 18: | ||
*Interactive editing | *Interactive editing | ||
*Tumor metrics | *Tumor metrics | ||
− | + | ==A Tour== | |
+ | *Self Training resources on the web | ||
*The EM segmenter | *The EM segmenter | ||
*DTI, | *DTI, | ||
*Queryatlas, | *Queryatlas, | ||
*Web services, interactions with DICOM/PACS resources | *Web services, interactions with DICOM/PACS resources |
Revision as of 12:25, 17 May 2008
Home < Events:RSNA2008There will be a Slicer 3 training event at RSNA on Monday Dec 1 2008
Introduction
This page is very preliminary and subject to change
This course is offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC) and the National Center for Image Guided Therapy. As part of the outreach missions of these NIH funded National Centers, we have developed an offering of free, open source software to enable research. The course aims to introduce translational clinical scientist to the capabilities of the 3D Slicer software.
Target Audience
Radiology Residents and Fellows others who are interested in medical image computing
Elements of the tutorial
Hands-on
- Loading image data from Xnat
- Basic visualization in Slicer
- The Lightbox capabilities
- Volume rendering
- Scene snapshots
- Registration of same subject data (multi-time, multi-modal)
- Interactive editing
- Tumor metrics
A Tour
- Self Training resources on the web
- The EM segmenter
- DTI,
- Queryatlas,
- Web services, interactions with DICOM/PACS resources