Deformetrica 4: An Open-Source Software for Statistical Shape Analysis

被引:55
|
作者
Bone, Alexandre [1 ,2 ,3 ,4 ,5 ]
Louis, Maxime [1 ,2 ,3 ,4 ,5 ]
Martin, Benoit [1 ,2 ,3 ,4 ,5 ]
Durrleman, Stanley [1 ,2 ,3 ,4 ,5 ]
机构
[1] ICM, Inst Cerveau & Moelle Epiniere, F-75013 Paris, France
[2] INSERM, U 1127, F-75013 Paris, France
[3] CNRS, UMR 7225, F-75013 Paris, France
[4] Sorbonne Univ, F-75013 Paris, France
[5] INRIA, Aramis Project Team, F-75013 Paris, France
来源
基金
欧洲研究理事会;
关键词
Statistical shape analysis; Computational anatomy; Large deformation diffeomorphic metric mapping; Open-source software; MORPHOMETRY; SURFACE;
D O I
10.1007/978-3-030-04747-4_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Deformetrica is an open-source software for the statistical analysis of images and meshes. It relies on a specific instance of the large deformation diffeomorphic metric mapping (LDDMM) framework, based on control points: local momenta vectors offer a low-dimensional and interpretable parametrization of global diffeomorphims of the 2/3D ambient space, which in turn can warp any single or collection of shapes embedded in this physical space. Deformetrica has very few requirements about the data of interest: in the particular case of meshes, the absence of point correspondence can be handled thanks to the current or varifold representations. In addition to standard computational anatomy functionalities such as shape registration or atlas estimation, a bayesian version of atlas model as well as temporal methods (geodesic regression and parallel transport) are readily available. Installation instructions, tutorials and examples can be found at http://www.deformetrica.org.
引用
收藏
页码:3 / 13
页数:11
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