Abstract #3039
Robust kalman filter based incremental activation detection for real-time fMRI
Liang Li 1 , Li Tong 1 , Bin Yan 1 , Ying Zeng 1 , Linyuan Wang 1 , and Jianxin Li 1
1
China National Digital Switching System
Engineering and Technological Research Center, zhengzhou,
Henan, China
We propose a new activation detection method for rt-fMRI
data based on robust kalman filter. The This method adds
a variation to the update step in the extended kalman
filter to fit the unexpected noise in the general linear
model, then solving the variation using the convex
optimization, finally and use the solved variation to
modify the kalman filter . The method can be used in the
Functional localization run to find the brain regions
associate with the tasks in real time. In clinical
application, The method can be used in the functional
localization run to obtain the brain regions associate
with the tasks in real time, the algorithm can be used
in the functional location run especially for the
subjects who could not keep peace during the experiments
.
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