Classification of hemodynamics from perfusion MR brain images using noiseless independent factor analysis

Yen Chun Chou*, Michael Mu Huo Teng, Wan Yuo Guo, Jen Chuen Hsieh, Yu Te Wu

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Dynamic-susceptibility-contrast (DSC) magnetic resonance imaging records signal changes on images when the injected contrast-agent particles pass through a human brain. The temporal signal changes on different brain tissues manifest distinct blood supply patterns which are vital for the profound analysis of cerebral hemodynamics. Under the assumption of the spatial independence among these patterns, noiseless independent factor analysis (NIFA) was first applied to decompose the DSC-MR data into different independent-factor images with corresponding signal-time curves. A major tissue type, such as artery, gray matter, white matter, vein, sinus, and choroid plexus, etc., on each independent-factor image was further segmented out by an optimal threshold. Based on the averaged signal-time curve on the arterial area, the cerebral hemodynamic parameters, such as relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), and mean transit time (MTT), were computed and their averaged ratios between gray matter and white matter for normal subjects were in good agreement with those in the literature. Data of a stenosis patient before and after treatment was analyzed and the result illustrates that this method is effective in extracting spatio-temporal blood supply patterns which improves differentiation of pathological and physiological hemodynamics.

原文English
主出版物標題Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
頁面298-303
頁數6
出版狀態Published - 2月 2006
事件3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications - Innsbruck, Austria
持續時間: 15 2月 200617 2月 2006

出版系列

名字Proceedings of the Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
2006

Conference

Conference3rd IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
國家/地區Austria
城市Innsbruck
期間15/02/0617/02/06

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