Difference between revisions of "Imaging in Neuroscience"
From NAMIC Wiki
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== Course Materials == | == Course Materials == | ||
− | In preparation for the hands-on session, please download the 3D Slicer version 4.2.1 and the Slicer4 minute datasets. | + | In preparation for the hands-on session, please download the 3D Slicer release version 4.2.2-1 and the Slicer4 minute datasets. |
− | [http://download.slicer.org 3D Slicer 4.x] | + | [http://download.slicer.org 3D Slicer 4.x (blue icon)] |
[http://www.slicer.org/slicerWiki/index.php/File:Slicer4minute.zip Slicer4minute dataset (hands-on)] | [http://www.slicer.org/slicerWiki/index.php/File:Slicer4minute.zip Slicer4minute dataset (hands-on)] |
Revision as of 01:07, 7 April 2013
Home < Imaging in NeuroscienceThe 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)
3D Slicer course - Imaging in Neuroscience
Course Materials
In preparation for the hands-on session, please download the 3D Slicer release version 4.2.2-1 and the Slicer4 minute datasets.
Slicer4minute dataset (hands-on)
Additional materials for learning more about 3D Slicer are available on the Slicer 101 page.