2000 Fiscal Year Final Research Report Summary
Structural Connectivity In White Matter Using the MR Diffusion Tensor Imaging
Project/Area Number |
11680842
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Biomedical engineering/Biological material science
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Research Institution | NARA INSTITUTE OF SCIENCE AND TECHNOLOGY |
Principal Investigator |
MINATO Kataro NARA INSTITUTE OF SCIENCE AND TECHNOLOGY, Information Technology Center, Professor, 情報科学センター, 教授 (00127143)
|
Co-Investigator(Kenkyū-buntansha) |
YUNEKURA Yushiharu FUKUI MED.UNIV., High Energy Medical Research Center, Professor, 高エネルギー医学研究センター, 教授 (60135572)
SUGA Nara INSTITUTE OF SCIENCE AND TECHNOLOGY, Information Technology Center, Instructor, 情報科学センター, 助手 (00294281)
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Project Period (FY) |
1999 – 2000
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Keywords | MRI / MR diffusion Imaging / diffusion tensor / connectivity of white matter / symmetry |
Research Abstract |
MR diffusion tensor Imaging (DTI) has become a powerful tool for analyzing the structure of brain white matter. The purpose of this study is to obtain a quantitative map of white matter connectivity in vivo using diffusion tensor properties.We have proposed a method for detecting nerve fiber bundles in white matter using MR diffusion tensor images and have applied the method to in vivo brain measurements. Although there are many methods to investigate the connectivity of white matter that are based on principal eigenvector or full tensorpropagation. In the proposed method, we use directional diffusion measurements to infer regional white matter connectivity.To assess the connectivity, we compose the map based on the projected tensor distance, then we put a label on the constructed map and segmentregionally connected white matter using labels. Then we proposed a new method in order to measure a degree of symmetry on the brain structure and showed a prel iminary result of structural un-symmetry between right and left Temporal lobes.
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Research Products
(12 results)