Abstract #2139
MR Perfusion Imaging Using High-Temporal-Resolution Resting-State Functional Magnetic Resonance Imaging
Tianyi Qian 1 , Yinyan Wang 2,3 , and Tao Jiang 2,3
1
MR Collaborations NE Asia, Siemens
Healthcare, Beijing, Beijing, China,
2
Beijing
Neurosurgical Institute, Beijing, China,
3
Beijing
Tiantan Hospital, Capital Medical University, Beijing,
China
In previous resting-state functional magnetic resonance
imaging (rs-fMRI) studies, the global signal (the
averaged time series of BOLD signal across the whole
brain) has always been treated as the background noise
and is typically regressed out. Here, an iterative
algorithm was used to extract the time-shift-corrected
global signal. By calculating the time delay and weight
with respect to the corrected global signal in each
voxel, we were able to measure the transient time of the
whole brain. Simultaneous multislice acceleration
acquisition combined with rs-fMRI was used to acquire
the dataset used in this study to further improve the
temporal and spatial resolution of this method.
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