Difference between revisions of "Imaging in Neuroscience"

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*Nicole Aucoin, Brigham and Women's Hospital, Harvard Medical School  
 
*Nicole Aucoin, Brigham and Women's Hospital, Harvard Medical School  
 
*Sonia Pujol, Brigham and Women's Hospital, Harvard Medical School
 
*Sonia Pujol, Brigham and Women's Hospital, Harvard Medical School
 +
*Randy L. Gollub, Massachusetts General Hospital, Harvard Medical School
 +
*P. Ellen Grant, Boston Children's Hospital, Harvard Medical School
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*Daniel Haehn, Boston Children's Hospital, Harvard Medical School
 +
*Nicolas Rannou, Boston Children's Hospital, Harvard Medical School
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*Nathaniel A Reynolds, Massachusetts General Hospital, Harvard Medical School
  
 
==Course Logistics==
 
==Course Logistics==

Revision as of 16:01, 3 April 2013

Home < Imaging in Neuroscience

The 3D Slicer software platform will be presented as part of the Harvard Catalyst course "Advanced Imaging: Imaging in Neuroscience" course organized by Dr. Randy Gollub

Course Faculty

  • Junichi Tokuda, Brigham and Women's Hospital, Harvard Medical School (Presenter)
  • Nicole Aucoin, Brigham and Women's Hospital, Harvard Medical School
  • Sonia Pujol, Brigham and Women's Hospital, Harvard Medical School
  • Randy L. Gollub, Massachusetts General Hospital, Harvard Medical School
  • P. Ellen Grant, Boston Children's Hospital, Harvard Medical School
  • Daniel Haehn, Boston Children's Hospital, Harvard Medical School
  • Nicolas Rannou, Boston Children's Hospital, Harvard Medical School
  • Nathaniel A Reynolds, Massachusetts General Hospital, Harvard Medical School

Course Logistics

Date: April 8, 2013, 11:30-12:00 Location: Sheraton Commander Hotel, Boston, MA

Agenda

  • 11:30-12:00: The 3D Slicer open-source platform for image analysis and 3D visualization of medical image data (lecture)
  • 12:00-1:00: Slicer4 minute tutorial (hands-on session) and Diffusion tractography demo

Course Materials

In preparation for the hands-on session, please download the 3D Slicer version 4.2.1 and the Slicer4 minute datasets.

Additional materials for learning more about 3D Slicer are available on the Slicer 101 page.