Difference between revisions of "2009 Project Week Data Clinic"

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*researchers with medical images that need to be edited, segmented, registered, visualized, quantified...
 
*researchers with medical images that need to be edited, segmented, registered, visualized, quantified...
  
During this ''clinic''', experts in the NA-MIC and NCIGT kits will help participants analyze their medical imagery.
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Tuesday: 2.30-3.30
 +
 
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During this '''clinic''', experts in the NA-MIC and NCIGT kits will help participants analyze their medical imagery.
 +
 
 +
Preparation:
 +
 
 +
* Attendees should bring to Project Week representative examples of the data they intend to work with.
 +
* If possible, include links to web sites or other reference documentation that describes the data:
 +
** how it was acquired
 +
** how much data there is
 +
** what format it is in (including links to to format documentation and/or example source code)
 +
** what metadata you have, such as demographics, clinical data, acquisition protocols, etc
 +
** what restrictions are there on the data (i.e. subject privacy, pre-publication restrictions, etc).
 +
* Be ready to briefly describe your needs for working with the data
 +
 
 +
Agenda:
 +
 
 +
*xnat for end-users (Dan Marcus)

Latest revision as of 03:09, 20 June 2009

Home < 2009 Project Week Data Clinic
Back to 2009_Summer_Project_Week#Agenda

Moderator: Ron Kikinis

Target Audience

  • researchers with medical images that need to be edited, segmented, registered, visualized, quantified...

Tuesday: 2.30-3.30

During this clinic, experts in the NA-MIC and NCIGT kits will help participants analyze their medical imagery.

Preparation:

  • Attendees should bring to Project Week representative examples of the data they intend to work with.
  • If possible, include links to web sites or other reference documentation that describes the data:
    • how it was acquired
    • how much data there is
    • what format it is in (including links to to format documentation and/or example source code)
    • what metadata you have, such as demographics, clinical data, acquisition protocols, etc
    • what restrictions are there on the data (i.e. subject privacy, pre-publication restrictions, etc).
  • Be ready to briefly describe your needs for working with the data

Agenda:

  • xnat for end-users (Dan Marcus)