Difference between revisions of "2010-Slicer-StLouis"

From NAMIC Wiki
Jump to: navigation, search
Line 17: Line 17:
 
*11:15-12:30 pm Hands-on session 2: Interactive Editing
 
*11:15-12:30 pm Hands-on session 2: Interactive Editing
 
**[[media:InteractiveEditorTutorial_SoniaPujol.pdf | Interactive Editing Tutorial]]
 
**[[media:InteractiveEditorTutorial_SoniaPujol.pdf | Interactive Editing Tutorial]]
**[[media: | Interactive Editing Data]]
+
**[[media:EditorTutorialDataset.zip | Interactive Editing Data]]
 
*12:30-1:30 pm Lunch
 
*12:30-1:30 pm Lunch
 
*1:30-3:15 pm Hands-on session 3: Diffusion Tensor Imaging
 
*1:30-3:15 pm Hands-on session 3: Diffusion Tensor Imaging

Revision as of 17:12, 29 June 2010

Home < 2010-Slicer-StLouis

Introduction

A one-day Slicer tutorial will be held at Washington University in St. Louis on July 1, 2010. The primary objective of this event is to introduce users to the Slicer environment, with a particular focus on its use for neurosurgical applications, fiber tracking, and functional localization.

Faculty

  • Wendy Plesniak, Ph.D.
  • Noby Hata, Ph. D.
  • Ron Kikinis, M.D.

Tentative Agenda

  • 3:15-3:30 pm Coffee Break
  • 3:30-4:45 pm Hands-on session 4: Neurosurgical Planning
  • 4:45-5:00 pm Questions from the audience and concluding remarks

Logistics

  • Enrollment is now closed. To be placed on the waitlist, please contact dmarcus@wustl.edu.
  • Location of the workshop: Farrell Learning and Teaching Center map, Room 303A&B
  • Time: 9am - 5 pm (Lunch will be provided)

Preparations

Desktop workstations will be provided or bring your own laptop with the Slicer3.6 release version appropriate to the platform you'll be using.

  • Slicer3.6 Software
    • Windows: Slicer3-3.6-2010-06-10-win32.exe
    • Mac: Slicer3-3.6-2010-06-10-darwin-x86.tar.gz
    • Linux 64: Slicer3-3.6-2010-06-10-linux-x86_64.tar.gz
    • Linux 32: Slicer3-3.6-2010-06-10-linux-x86.tar.gz

Hardware minimum requirement: 2GB of main memory and graphics hardware acceleration with 256 MB of dedicated graphics memory (nvidia preferred).

  • Datasets: We will post the tutorial datasets a few days before the event.

This event is sponsored by the Washington Univeristy Neuroimaging Informatics and Analysis Center.


Back to NA-MIC Events