Difference between revisions of "USC 2014"
From NAMIC Wiki
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* Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical School, Boston, MA | * Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical School, Boston, MA | ||
* Andrei Irimia, Ph.D., University of Southern California | * Andrei Irimia, Ph.D., University of Southern California | ||
+ | * Bo Wang, M.S., University of Utah | ||
* Jack Van Horn, Ph.D., University of Southern California | * Jack Van Horn, Ph.D., University of Southern California | ||
Revision as of 19:18, 7 February 2014
Home < USC 2014
Objective
The objective of the workshop is to introduce the capabilities of the 3D Slicer open-source software for medical image analysis and 3D visualization. The workshop is divided into two parts: the first part introduces the basics of 3D visualization of DICOM images and Diffusion Tensor Image Analysis within the platform, and the second part introduces the 3D Slicer capabilities for Traumatic Brain Injury research. Intended audience: neuroscience and biomedical engineering graduate students, postdoctoral scholars, clinicians and faculty
Faculty
- Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Andrei Irimia, Ph.D., University of Southern California
- Bo Wang, M.S., University of Utah
- Jack Van Horn, Ph.D., University of Southern California
Logistics
Location: Soto I Building, Room L105, Keck School of Medicine of USC, Los Angeles, CA Registration: TBA
Tentative Agenda
- 9:00-9:15 am Welcome and Goals of the Workshop (Jack Van Horn)
- 9:15-9:30 am Introduction to the Slicer community (Sonia Pujol)
- 9:30-10:30 am Session 1: 3D interactive Visualization of DICOM images (Sonia Pujol)
- 10:30-10:45 am Coffee break
- 10:45-12:00 pm Session 2: Diffusion Tensor Imaging (Sonia Pujol)
- 12:00-1:00 pm Lunch break
- 1:00-1:30 pm Session 3: Brain Tissue Classification (Bo Wang)
- 1:30-2:45 pm Session 4: Mapping of Brain Trauma (Andrei Irimia)
Preparation for the workshop
The workshop includes a series of hands-on sessions that will use the following software and datasets:
- Software
- Dataset