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Abstract #2427

Anatomically constrained magnetic resonance inverse imaging for human brain

Kevin Wen-Kai Tsai 1,2 and Fa-Hsuan Lin 3

1 Department of Biomedical Engineering and Computational Science, Aalto University School of Science, Espoo, Finland, 2 Brain Research Unit (BRU), Low Temperature Laboratory, Aalto University School of Science, Espoo, Finland, 3 Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan

The under-determined inverse problem solved in InI coursed the source localization uncertainty. We proposed an anatomically constrained InI to mitigate this problem by using the high spatial resolution anatomic image as the prior information in reconstruction. Without and with the anatomical constrain in reconstruction, the spatial resolution was improved from 1.9 to 1.2 pixels in the simulation, and also has a better source localization in simulated activation at the thalamus. We conclude that anatomically constrained InI provide the better source localization accuracy than InI.

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