Difference between revisions of "StonyBrook Workshop"
From NAMIC Wiki
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=Local Host= | =Local Host= | ||
* [http://www.iacs.stonybrook.edu/people/affiliates/allen-tannenbaum Allen Tannenbaum, Ph.D., Institute for Computational Neuroscience, Stony Brook University] | * [http://www.iacs.stonybrook.edu/people/affiliates/allen-tannenbaum Allen Tannenbaum, Ph.D., Institute for Computational Neuroscience, Stony Brook University] | ||
+ | * [https://medicine.stonybrookmedicine.edu/radiology/mary-saltz Mary Saltz, M.D., Department of Radiology, Stony Brook School of Medicine] | ||
=Tentative Agenda= | =Tentative Agenda= |
Revision as of 03:10, 13 April 2016
Home < StonyBrook Workshop
Introduction
The 3D Slicer Stony Brook workshop is a full day course that will combine a series of lectures and hands-on sessions using the 3D Slicer software. The morning session will provide an introduction to the basics of data loading, 3D visualization and image registration. The afternoon session will focus on fundamental and practical aspects of Diffusion MRI analysis.
Workshop Organizers
Local Host
- Allen Tannenbaum, Ph.D., Institute for Computational Neuroscience, Stony Brook University
- Mary Saltz, M.D., Department of Radiology, Stony Brook School of Medicine
Tentative Agenda
- 9:30-9:40 am Welcome and Goals of the Workshop (Allen Tannenbaum)
- 9:40-10:00 am Introduction to the 3D Slicer software and community (Sonia Pujol)
- 10:00-11:15 am Hands-on session 1: 3D Data Loading and Visualization (Sonia Pujol)
- 11:15-11:30 am Coffee Break
- 11:30-12:30 pm Hands on session 2: Basics of Image Registration (Sonia Pujol)
- 12:30-1:30 pm Lunch
- 1:30 pm -2:45 pm An Introduction to Diffusion Tensor Imaging (Sonia Pujol)
- 2:45 pm -3:00 pm Coffee Break
- 3:00-4:00 pm Brain Mapping for Neurosurgery (Sonia Pujol)
- 4:00-4:30 pm Questions from the audience and concluding remarks
Logistics
- Date: Thursday April 14, 2016
- Location: TBA
- Registration: To register for the event, please send an e-mail to XXX.
- Workshop Materials: In preparation for the hands-on sessions, please download the following software and datasets:
- Software: TBA
- Datasets: