Automatic Mouse Brain MRM Parcellation Based on Tomographic Atlas

LAN LIN, BAI-WEN ZHANG, ZHEN-RONG FU, JING-XUAN WANG

Abstract


Although several MRM based mouse brain atlases have been proposed, limited work has been done on tomographic atlas based mouse brain MRM segmentation. In this study, the anatomical regions in the Paxinos and Franklin's Atlas (P-F Atlas) were first merged into 34 regions, a pseudo T2-weighted MRM was then generated from the 3D atlas based on higher order regional statistics. Finally, Geodesic-Syn approach was used to link the pseudo T2 MRM to mouse brain MRM, and the consistency between them was also evaluated. This study provides a foundation for automatic mouse brain MRM parcellation based on P-F Atlas.

Keywords


Atlas-based parcellation, Image registration, Mouse brain, MRM.


DOI
10.12783/dtbh/icmsb2017/17967

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