Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis
Perfusion magnetic resonance brain imaging induces temporal signal changes on brain tissues, manifesting distinct blood-supply patterns for the profound analysis of cerebral hemodynamics. We employed independent factor analysis to blindly separate such dynamic images into different maps, that is, ar...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2010/360568 |
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| _version_ | 1850178691241345024 |
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| author | Yen-Chun Chou Chia-Feng Lu Wan-Yuo Guo Yu-Te Wu |
| author_facet | Yen-Chun Chou Chia-Feng Lu Wan-Yuo Guo Yu-Te Wu |
| author_sort | Yen-Chun Chou |
| collection | DOAJ |
| description | Perfusion magnetic resonance brain imaging induces temporal signal changes on brain tissues, manifesting distinct blood-supply patterns for the profound analysis of cerebral hemodynamics. We employed independent factor analysis to blindly separate such dynamic images into different maps, that is, artery, gray matter, white matter, vein and sinus, and choroid plexus, in conjunction with corresponding signal-time curves. The averaged signal-time curve on the segmented arterial area was further used to calculate the relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), and mean transit time (MTT). The averaged ratios for rCBV, rCBF, and MTT between gray and white matters for normal subjects were congruent with those in the literature. |
| format | Article |
| id | doaj-art-c63a277bddd54a26b2e888d29d25343e |
| institution | OA Journals |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-c63a277bddd54a26b2e888d29d25343e2025-08-20T02:18:39ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962010-01-01201010.1155/2010/360568360568Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor AnalysisYen-Chun Chou0Chia-Feng Lu1Wan-Yuo Guo2Yu-Te Wu3Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Pei-Tou, Taipei 112, TaiwanDepartment of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Pei-Tou, Taipei 112, TaiwanDepartment of Radiology, Taipei Veterans General Hospital, No. 201, Section 2, Shih-Pai Rd., Pei-Tou, Taipei 112, TaiwanDepartment of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Pei-Tou, Taipei 112, TaiwanPerfusion magnetic resonance brain imaging induces temporal signal changes on brain tissues, manifesting distinct blood-supply patterns for the profound analysis of cerebral hemodynamics. We employed independent factor analysis to blindly separate such dynamic images into different maps, that is, artery, gray matter, white matter, vein and sinus, and choroid plexus, in conjunction with corresponding signal-time curves. The averaged signal-time curve on the segmented arterial area was further used to calculate the relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), and mean transit time (MTT). The averaged ratios for rCBV, rCBF, and MTT between gray and white matters for normal subjects were congruent with those in the literature.http://dx.doi.org/10.1155/2010/360568 |
| spellingShingle | Yen-Chun Chou Chia-Feng Lu Wan-Yuo Guo Yu-Te Wu Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis International Journal of Biomedical Imaging |
| title | Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis |
| title_full | Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis |
| title_fullStr | Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis |
| title_full_unstemmed | Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis |
| title_short | Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis |
| title_sort | blind source separation of hemodynamics from magnetic resonance perfusion brain images using independent factor analysis |
| url | http://dx.doi.org/10.1155/2010/360568 |
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