Difference between revisions of "HST.583 2015 Brain Mapping for Neurosurgery"
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The '''Brain Mapping for Neurosurgery''' course is an introduction to the basics of the use of post-processing methods to build patient specific brain maps from structural and diffusion MRI data for surgical planning of brain tumor resection. | The '''Brain Mapping for Neurosurgery''' course is an introduction to the basics of the use of post-processing methods to build patient specific brain maps from structural and diffusion MRI data for surgical planning of brain tumor resection. | ||
The session is part of the [http://stellar.mit.edu/S/course/HST/fa15/HST.583/ 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 session is part of the [http://stellar.mit.edu/S/course/HST/fa15/HST.583/ 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 Faculty== | ||
| + | Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical School | ||
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==Course Logistics== | ==Course Logistics== | ||
Revision as of 20:31, 9 November 2015
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Course Description
The Brain Mapping for Neurosurgery course is an introduction to the basics of the use of post-processing methods to build patient specific brain maps from structural and diffusion MRI data for surgical planning of brain tumor resection. 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 Faculty
Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical School
Course Logistics
- Date: November 23, 2015, 12:30-2:00 pm
- Venue: HST.583, MIT
- Location: MIT Lab Room, TBA
Course Materials
In preparation of the course, please download the software and datasets:
