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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