Title | ||
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Building statistical atlas of white matter fiber tract based on vector/tensor field reconstruction in diffusion tensor MRI |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11595755_11 | ISVC |
Keywords | Field | DocType |
diffusion tensor parameter,statistical atlas,white matter fiber tract,interactive roi setting,modeling method,diffusion tensor tractography,fiber tract modeling method,tract structure,key role,tensor field reconstruction,diffusion tensor,probability density | Diffusion MRI,Normalization (statistics),White matter,Fiber,Pattern recognition,Computer science,Tensor field,Atlas (anatomy),Artificial intelligence,Probability density function,Tractography | Conference |
Volume | ISSN | ISBN |
3804 | 0302-9743 | 3-540-30750-8 |
Citations | PageRank | References |
1 | 0.38 | 7 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yoshitaka Masutani | 1 | 145 | 30.52 |
Shigeki Aoki | 2 | 31 | 6.12 |
Osamu Abe | 3 | 9 | 6.36 |
Mariko Yoshida | 4 | 10 | 2.07 |
Haruyasu Yamada | 5 | 5 | 2.03 |
Harushi Mori | 6 | 1 | 0.71 |
Kenji Ino | 7 | 1 | 0.71 |
Kuni Ohtomo | 8 | 45 | 11.32 |