A stochastic tractography system and applications
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/41652 |
| _version_ | 1826193173211250688 |
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| author | Ngo, Tri M. (Tri Minh) |
| author2 | Polina Golland and Carl-Fredrik Westin. |
| author_facet | Polina Golland and Carl-Fredrik Westin. Ngo, Tri M. (Tri Minh) |
| author_sort | Ngo, Tri M. (Tri Minh) |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. |
| first_indexed | 2024-09-23T09:35:11Z |
| format | Thesis |
| id | mit-1721.1/41652 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:35:11Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/416522019-04-10T12:39:43Z A stochastic tractography system and applications Ngo, Tri M. (Tri Minh) Polina Golland and Carl-Fredrik Westin. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (p. 75-77). Neuroscientists hypothesize that the pathologies of some neurological diseases are associated with neuroanatomical abnormalities. Diffusion Tensor Imaging (DTI) and stochastic tractography allow us to investigate white matter architecture non-invasively through measurements of water self diffusion throughout the brain. Many comparative studies of white matter architecture utilize spatially localized comparisons of diffusion characteristics. White matter tractography enables studies of fiber bundle characteristics. Stochastic tractography facilitates these investigations by providing a measure of confidence regarding the inferred fiber bundles. This thesis presents an implementation of an easy to use, open-source stochastic tractography system that will enable novel studies of fiber tract abnormalities. We demonstrate an application of the system on real DTI images and discuss possible studies of frontal lobe fiber differences in Schizophrenia. by Tri M. Ngo. M.Eng. 2008-05-19T16:05:35Z 2008-05-19T16:05:35Z 2007 2007 Thesis http://hdl.handle.net/1721.1/41652 219720649 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 77 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Ngo, Tri M. (Tri Minh) A stochastic tractography system and applications |
| title | A stochastic tractography system and applications |
| title_full | A stochastic tractography system and applications |
| title_fullStr | A stochastic tractography system and applications |
| title_full_unstemmed | A stochastic tractography system and applications |
| title_short | A stochastic tractography system and applications |
| title_sort | stochastic tractography system and applications |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/41652 |
| work_keys_str_mv | AT ngotrimtriminh astochastictractographysystemandapplications AT ngotrimtriminh stochastictractographysystemandapplications |