Difference between revisions of "HST.583 2017"

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==Course Description==
 
==Course Description==
 
The '''Life Cycle of Medical Imaging Data''' is an introduction to the basics of medical imaging data and 3D visualization of anatomy. The course uses the 3D Slicer software to explore MR datasets of the brain and 3D surface models of brain structures. The session is part of the [https://learning-modules.mit.edu/class/index.html?uuid=/course/HST/fa17/HST.583#info HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis], a multidisciplinary course which provides information relevant to the conduct and interpretation of human brain mapping studies.
 
The '''Life Cycle of Medical Imaging Data''' is an introduction to the basics of medical imaging data and 3D visualization of anatomy. The course uses the 3D Slicer software to explore MR datasets of the brain and 3D surface models of brain structures. The session is part of the [https://learning-modules.mit.edu/class/index.html?uuid=/course/HST/fa17/HST.583#info HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis], a multidisciplinary course which provides information relevant to the conduct and interpretation of human brain mapping studies.
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==Course Instructor==
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*Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical Schoo
  
 
==Course Logistics==
 
==Course Logistics==

Revision as of 09:27, 27 July 2017

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Course Description

The Life Cycle of Medical Imaging Data is an introduction to the basics of medical imaging data and 3D visualization of anatomy. The course uses the 3D Slicer software to explore MR datasets of the brain and 3D surface models of brain structures. The session is part of the HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, a multidisciplinary course which provides information relevant to the conduct and interpretation of human brain mapping studies.

Course Instructor

  • Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical Schoo

Course Logistics

  • Date: September 18, 2017, 12:30-2:00 pm
  • Venue: HST.583, MIT
  • Location: MIT Lab Room, TBA

Course Materials

In preparation of the course, please download the datasets: