Deformetrica 4: an open-source software for statistical shape analysis

Alexandre Bône (1) , Maxime Louis (1) , Benoît Martin (1) , Stanley Durrleman (1)

1 ARAMIS - Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]

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.

Mots clés: Open-source software.; Large deformation diffeomorphic metric mapping; Computational anatomy; Statistical shape analysis

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Géométrie différentielle [math.DG]; Logiciel mathématique [cs.MS]; Machine Learning [stat.ML]

Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman. Deformetrica 4: an open-source software for statistical shape analysis. ShapeMI @ MICCAI 2018 - Workshop on Shape in Medical Imaging, Sep 2018, Granada, Spain. ⟨hal-01874752v3⟩