Spatio-temporal data fusion in cerebral angiography
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/40879 |
| _version_ | 1826204943204220928 |
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| author | Copeland, Andrew David, 1978- |
| author2 | Sanjoy K. Mitter. |
| author_facet | Sanjoy K. Mitter. Copeland, Andrew David, 1978- |
| author_sort | Copeland, Andrew David, 1978- |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. |
| first_indexed | 2024-09-23T13:03:49Z |
| format | Thesis |
| id | mit-1721.1/40879 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:03:49Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/408792019-04-12T09:40:16Z Spatio-temporal data fusion in cerebral angiography Copeland, Andrew David, 1978- Sanjoy K. Mitter. 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 (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (p. 153-167). This thesis provides a framework for generating the previously unobtained high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences allow image feedback during medical procedures that can facilitate the detection and observation of stenosis, aneurysms, and clots. The 3D time series is constructed by fusing together a single static 3D image with one or more time sequence of 2D projections. The fusion process utilizes a variational approach that constrains the volumes to have both smoothly varying regions separated by edges and sparse regions of non-zero support. Results are presented on both clinical and simulated phantom data sets. The 3D time series results are visualized using the following tools: time series of intensity slices, synthetic X-rays from an arbitrary view, time series of isosurfaces, and 3D surfaces that show arrival times of contrast using color. This thesis also details the different steps needed to prepare the two classes of data. In addition to the spatio-temporal data fusion algorithm, three new algorithms are presented: a single pass groupwise registration algorithm for registering the time series, a 2D-3D registration algorithm for registering the time series with respect to the 3D volume, and a modified adaptive version of the Cusum algorithm used for determining arrival times of contrast within the 2D time sequences. by Andrew David Copeland. Ph.D. 2008-03-27T18:17:55Z 2008-03-27T18:17:55Z 2007 2007 Thesis http://hdl.handle.net/1721.1/40879 191804950 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 167 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Copeland, Andrew David, 1978- Spatio-temporal data fusion in cerebral angiography |
| title | Spatio-temporal data fusion in cerebral angiography |
| title_full | Spatio-temporal data fusion in cerebral angiography |
| title_fullStr | Spatio-temporal data fusion in cerebral angiography |
| title_full_unstemmed | Spatio-temporal data fusion in cerebral angiography |
| title_short | Spatio-temporal data fusion in cerebral angiography |
| title_sort | spatio temporal data fusion in cerebral angiography |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/40879 |
| work_keys_str_mv | AT copelandandrewdavid1978 spatiotemporaldatafusionincerebralangiography |