International audienceTo obtain correct topological properties when analysing a 3-D image, a solution consists in using an a priori model presenting satisfying properties w.r.t. the object to analyse, and to "fit" the model on this object. We propose a methodological framework which tackles this problem by fusing two classical approaches: image deformation, and image registration, which consider discrete and continuous topology preservation, respectively. The methodology, applied on medical data, provides quite satisfactory results
Cette thèse aborde la problématique du recalage non rigide d'images cérébrales tridimensionnelles in...
© 2017 Institute of Physics and Engineering in Medicine. The demons registration (DR) model is well ...
Digitization is not as easy as it looks. If one digitizes a 3D object even with a dense sampling gri...
Abstract—This paper deals with topology preservation in three-dimensional (3-D) deformable image reg...
This paper proposes a comprehensive evaluation of a monomodal B-spline-based non-rigid registration ...
This work focuses on the modelling of problems related to image registration. Image registration con...
cited By (since 1996)0International audienceIn this paper, we investigate a new method to enforce to...
AbstractThree-dimensional (3D) digital images of human internal structures, generated by a variety o...
Image Registration is an algorithmic optimization process primarily aimed at estimating the most opt...
Topological concepts are critically important in the computation of anatomical representations, esta...
In this paper, the author addresses the issue of designing a theoretically well-motivated ...
International audienceWe provide conditions under which 2D digital images, considered in the two mos...
Medical imaging can provide data for useful views of the interior details of human anatomy. In addit...
National audienceRigid transformations in R^n are known to preserve the shape, and are often applied...
Ce travail porte sur la modélisation de problèmes liés au recalage d'images. Le recalage consiste à ...
Cette thèse aborde la problématique du recalage non rigide d'images cérébrales tridimensionnelles in...
© 2017 Institute of Physics and Engineering in Medicine. The demons registration (DR) model is well ...
Digitization is not as easy as it looks. If one digitizes a 3D object even with a dense sampling gri...
Abstract—This paper deals with topology preservation in three-dimensional (3-D) deformable image reg...
This paper proposes a comprehensive evaluation of a monomodal B-spline-based non-rigid registration ...
This work focuses on the modelling of problems related to image registration. Image registration con...
cited By (since 1996)0International audienceIn this paper, we investigate a new method to enforce to...
AbstractThree-dimensional (3D) digital images of human internal structures, generated by a variety o...
Image Registration is an algorithmic optimization process primarily aimed at estimating the most opt...
Topological concepts are critically important in the computation of anatomical representations, esta...
In this paper, the author addresses the issue of designing a theoretically well-motivated ...
International audienceWe provide conditions under which 2D digital images, considered in the two mos...
Medical imaging can provide data for useful views of the interior details of human anatomy. In addit...
National audienceRigid transformations in R^n are known to preserve the shape, and are often applied...
Ce travail porte sur la modélisation de problèmes liés au recalage d'images. Le recalage consiste à ...
Cette thèse aborde la problématique du recalage non rigide d'images cérébrales tridimensionnelles in...
© 2017 Institute of Physics and Engineering in Medicine. The demons registration (DR) model is well ...
Digitization is not as easy as it looks. If one digitizes a 3D object even with a dense sampling gri...