New tissue priors for improved automated classification of subcortical brain structures on MRI
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- 作者：S. Lorioa ; S. Fresarda ; S. Adaszewskia ; F. Kherifa ; R. Chowdhuryc ; R.S. Frackowiaka ; J. Ashburnerc ; G. Helmsb ; N. Weiskopfc ; d ; A. Luttia ; 1 ; B. Draganskia ; d ; 1 ; bogdan.draganski@chuv.ch" class="auth_mail" title="E-mail the corresponding author
- 关键词：Relaxometry ; Magnetization transfer saturation ; Effective transverse relaxation ; Basal ganglia ; Tissue probability maps ; Voxel-based morphometry ; Voxel-based quantification
- 刊名：NeuroImage
- 出版年：2016
- 出版时间：15 April 2016
- 年：2016
- 卷：130
- 期：Complete
- 页码：157-166
- 全文大小：1940 K
文摘
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We create new tissue probability maps of subcortical structures based on magnetization transfer saturation and R2* MRI data.
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We obtain anatomically plausible delineation of subcortical structures from T1w data with the new tissue probability maps.
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Automated tissue classification with the new tissue probability maps is more robust against the age impact on MR contrast.