STATISTICAL ANALYSIS OF CORTICAL MORPHOMETRICS USING POOLED DISTANCES BASED ON LABELED CORTICAL DISTANCE MAPS [0.03%]
基于标记皮层距离图的池化距离皮层形态计量学统计分析方法研究
E Ceyhan,M Hosakere,T Nishino et al.
E Ceyhan et al.
Neuropsychiatric disorders have been demonstrated to manifest shape differences in cortical structures. Labeled Cortical Distance Mapping (LCDM) is a powerful tool in quantifying such morphometric differences and characterizes the morphomet...
Michael I Miller,Alain Trouvé,Laurent Younes
Michael I Miller
Studying large deformations with a Riemannian approach has been an efficient point of view to generate metrics between deformable objects, and to provide accurate, non ambiguous and smooth matchings between images. In this paper, we study t...
Ying Bai,Xiao Han,Jerry L Prince
Ying Bai
The theory of digital topology is used in many different image processing and computer graphics algorithms. Most of the existing theories apply to uniform cartesian grids, and they are not readily extensible to new algorithms targeting at a...
Laurent Younes,Anqi Qiu,Raimond L Winslow et al.
Laurent Younes et al.
This paper focuses on the issue of translating the relative variation of one shape with respect to another in a template centered representation. The context is the theory of Diffeomorphic Pattern Matching which provides a representation of...