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

• Published in: Shape in Medical Imaging Vol. 11167; pp. 3 - 13
• Main Authors: Bône, Alexandre, Louis, Maxime, Martin, Benoît, Durrleman, Stanley
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Computational anatomy; Large deformation diffeomorphic metric mapping; Open-source software; Statistical shape analysis
• ISBN: 9783030047467; 3030047466
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-04747-4_1

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.