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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