Skip to Main content Skip to Navigation
Conference papers

A modular multi-scale model to build atlases of shapes with large deformations

Barbara Gris 1, 2 Stanley Durrleman 2 Alain Trouvé 1
2 ARAMIS - Algorithms, models and methods for images and signals of the human brain
Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
Abstract : A central aspect of Computational Anatomy is the description of the variations among a population of shapes. A common approach to study them is the computation of an atlas, namely an average template shape and a family of template-to-subject deformations. Large deformations are often obtained through the integration of a vector field, deformation models vary therefore according to the model of vector fields. We present here a new model for large deformations in which vector fields are modular and multi-scale, which favours sparsity of parametrisation and its interpretability.
Document type :
Conference papers
Complete list of metadata
Contributor : Barbara Gris Connect in order to contact the contributor
Submitted on : Wednesday, September 2, 2015 - 10:03:54 AM
Last modification on : Thursday, April 15, 2021 - 3:31:35 AM


  • HAL Id : hal-01191547, version 1


Barbara Gris, Stanley Durrleman, Alain Trouvé. A modular multi-scale model to build atlases of shapes with large deformations. Organization for Human Brain Mapping 2015, Jun 2015, Honolulu, United States. pp.1. ⟨hal-01191547⟩



Record views