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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tasciyan, T.A. Beckmann, C.F. Morris, E.D. Smith, S.M. |
| Copyright Year | 2001 |
| Description | Author affiliation: Sensor Syst., Sterling, VA, USA (Tasciyan, T.A.) |
| Abstract | An Independent Component Analysis (ICA) based segmentation technique is presented allowing the quantitative assessment of cerebral blood volume (CBV), cerebral blood flow (CBF) and mean transit time (MTT) from dynamic susceptibility contrast magnetic resonance (MR) images of the brain. Tissue types such as gray matter (GM), white matter (WM), and pathology appear as different ICA components as a result of their distinct temporal response to the first passage of contrast agent through the brain. The average CBV, CBF, and MTT values calculated for each component/tissue type could help evaluate the evolution of pathology and provide the opportunity for intersubject comparisons. |
| Starting Page | 2537 |
| Ending Page | 2540 |
| File Size | 502860 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372115 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2001.1017296 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-25 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Independent component analysis Image segmentation Magnetic resonance imaging Pathology Sensor systems Blood flow Magnetic susceptibility Tellurium Magnetic resonance Diseases |
| Content Type | Text |
| Resource Type | Article |
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