Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis
Joint Authors
Lu, Chia-Feng
Chou, Yen-Chun
Wu, Yu-Te
Guo, Wan-Yuo
Source
International Journal of Biomedical Imaging
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-04-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chou, Yen-Chun& Lu, Chia-Feng& Guo, Wan-Yuo& Wu, Yu-Te. 2010. Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis. International Journal of Biomedical Imaging،Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-465815
Modern Language Association (MLA)
Chou, Yen-Chun…[et al.]. Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis. International Journal of Biomedical Imaging No. 2010 (2010), pp.1-9.
https://search.emarefa.net/detail/BIM-465815
American Medical Association (AMA)
Chou, Yen-Chun& Lu, Chia-Feng& Guo, Wan-Yuo& Wu, Yu-Te. Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis. International Journal of Biomedical Imaging. 2010. Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-465815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465815