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Abstract #2009

Measuring the Timing Information of Blood Flow in Acute Stroke with the "Background Noise" of BOLD Signal

Tianyi Qian 1 , Zhongyan Wang 2 , and Peiyi Gao 2

1 MR Collaborations NE Asia, Siemens Healthcare, Beijing, Beijing, China, 2 Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, Beijing, China

Low-frequencie fluctuation in the range of 0.01C0.1 Hz is commonly observed in BOLD signal and has been widely used for analyzing brain functional activation patterns. In this study, an iterative algorithm was used to extract the time-shift-corrected time series pattern of whole-brain BOLD signal. The iterative algorithm for computing the global template of the time series pattern is able to increase the estimation performance significantly while reducing the amount of required rs-fMRI data; shortening the examination time, which is of great importance for potential future clinical applications.

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