Presentation 2003/9/12
Synthetic Data Study for Validation of Improved Tracking Method based on Diffusion Anisotropy in MR-DTI White Matter Fiber Tracking
Y MASUTANI, M WATANABE, S AOKI, K OHTOMO, H KABASAWA,
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Abstract(in English) For white matter fiber tracking based on MR diffusion tensor images, we already proposed a new method based on local diffusion anisotropy, which improves tracking performance at fiber crossing. In this study, we validated the method by using synthetic data in which several imaging parameters can be virtually controlled.
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Keyword(in English) MR Diffusion Tensor Imaging / Diffusion Anisotropy / and White Matter Fiber Tracking
Paper # MI2003-42
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Committee MI
Conference Date 2003/9/12(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Synthetic Data Study for Validation of Improved Tracking Method based on Diffusion Anisotropy in MR-DTI White Matter Fiber Tracking
Sub Title (in English)
Keyword(1) MR Diffusion Tensor Imaging
Keyword(2) Diffusion Anisotropy
Keyword(3) and White Matter Fiber Tracking
1st Author's Name Y MASUTANI
1st Author's Affiliation Graduate School of Medicine, Univ. of Tokyo()
2nd Author's Name M WATANABE
2nd Author's Affiliation Graduate School of Medicine, Univ. of Tokyo
3rd Author's Name S AOKI
3rd Author's Affiliation Graduate School of Medicine, Univ. of Tokyo
4th Author's Name K OHTOMO
4th Author's Affiliation Graduate School of Medicine, Univ. of Tokyo
5th Author's Name H KABASAWA
5th Author's Affiliation GE Yokogawa Medical Systems, Inc.
Date 2003/9/12
Paper # MI2003-42
Volume (vol) vol.103
Number (no) 319
Page pp.pp.-
#Pages 5
Date of Issue