Difference between revisions of "Events:RSNA2008"

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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
=Brainstorming=
+
=Introduction=
==Target Audience==
+
'''This page is very preliminary and subject to change'''
Radiology Residents and Fellows, CTSA's
 
  
==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.
===Hands-on===  
+
 
 +
=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
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*Interactive editing
 
*Interactive editing
 
*Tumor metrics
 
*Tumor metrics
===A Tour of other capabilities===  
+
==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:RSNA2008

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

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