Building statistical atlas of white matter fiber tract based on vector/tensor field reconstruction in diffusion tensor MRI

Authors:
Yoshitaka Masutani;Shigeki Aoki;Osamu Abe;Mariko Yoshida;Haruyasu Yamada;Harushi Mori;Kenji Ino;Kuni Ohtomo
Affiliations:
Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan;Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan;Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan;Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan;Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan;Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan;Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan;Image Computing and Analysis Laboratory, Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan
Venue:
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Year:
2005

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Abstract

The diffusion tensor tractography has drawbacks such as low objectivity by interactive ROI setting and fiber-crossing. For coping with such problems, we are constructing a statistical atlas of white matter fiber tracts, in which probability density maps of tract structures are stored with diffusion tensor parameters on spatially normalized brain data. In building the atlas, our fiber tract modeling method plays a key role, which is based on a novel approach of vector/tensor field reconstruction avoiding fiber-crossings. In this abstract, we describe the modeling method, our statistical atlas, and the preliminary results.