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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu-Te Wu Yi-Hsuan Kao Wan-Yuo Guo Tzu-Chen Yeh Jen-Chuen Hsieh Teng, M.M.H. |
| Copyright Year | 2003 |
| Description | Author affiliation: Inst. of Radiol. Sci., Nat. Yang-Ming Univ., Taipei, Taiwan (Yu-Te Wu; Yi-Hsuan Kao) |
| Abstract | Dynamic-susceptibility-contrast MR imaging is a widely used perfusion imaging technique that records signal changes on images caused by the passage of contrast-agent particles in the human brain after a bolus injection of contrast agent. The signal changes over time on different brain tissues represent distinct blood supply patterns and are crucial for studying cerebral hemodynamics. By assuming the spatial independence among these patterns, independent component analysis (ICA) was applied to classify different tissues, i.e., artery, gray matter, white matter, vein and sinus and choroid plexus, so that the spatio-temporal hemodynamics of these tissues were decomposed and analyzed. An arterial input function was modeled using the concentration-time curve of the arterial area for the deconvolution calculation of relative cerebral blood flow. The cerebral blood volume (CBV), relative cerebral blood flow (CBF), and relative mean transit time (MTT), were computed and their averaged ratios between gray matter and white matter were in good agreement with those in the literature. |
| Sponsorship | Int. Neural Network Soc. IEEE Neural Networks Soc |
| Starting Page | 616 |
| Ending Page | 621 |
| File Size | 555053 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780378989 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2003.1223433 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-07-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hemodynamics Image analysis Independent component analysis Biomedical imaging Signal processing Hospitals Blood flow Brain Radiology Neuroscience |
| Content Type | Text |
| Resource Type | Article |
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