Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits
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- 作者：Sylvain Takerkart ; a ; b ; Sylvain.Takerkart@univ-amu.fr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Guillaume Auziasa ; cAuthor Vitae ; Lucile Bruna ; cAuthor Vitae ; Olivier Coulona ; cAuthor Vitae
- 关键词：Morphometry ; Brain ; Sulcal pits ; Graph kernel ; Searchlight ; Multi-scale methods
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：32-45
- 全文大小：5730 K
文摘
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We present Structural Graph-Based Morphometry (SGBM) to characterize patient groups.
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SGBM is the first fully automatic brain morphometry method based on sulcal pits.
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It uses a graph kernel as a new similarity measure between pit-graphs.
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A classification-based searchlight scheme localizes the differences between groups.
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A multi-scale inference strategy allows to detect effects of different sizes.