Difference between revisions of "TIBM: Registration"
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Registration is a crucial step in medical image processing. Registration may be mono- or multimodal, rigid (intra-patient) or deformable (inter-patient) and may involve two or more images. | Registration is a crucial step in medical image processing. Registration may be mono- or multimodal, rigid (intra-patient) or deformable (inter-patient) and may involve two or more images. | ||
− | * Thus, we have proposed a | + | * Thus, we have proposed a deformable registration method for jointly mapping of a set of images [https://icube-publis.unistra.fr/2-NHHA12 2-NHHA12], which is a necessary prerequisite for conducting population studies. |
* A registration algorithm dedicated to retinal images has also been developed [https://icube-publis.unistra.fr/2-FLP11 2-FLP11]. | * A registration algorithm dedicated to retinal images has also been developed [https://icube-publis.unistra.fr/2-FLP11 2-FLP11]. | ||
* Contributions were made for the non-rigid registration of binary images [https://icube-publis.unistra.fr/2-GNKF12 2-GNKF12] as well as the warping of binary images under topological constraints [https://icube-publis.unistra.fr/2-FPNC11 2-FPNC11]. | * Contributions were made for the non-rigid registration of binary images [https://icube-publis.unistra.fr/2-GNKF12 2-GNKF12] as well as the warping of binary images under topological constraints [https://icube-publis.unistra.fr/2-FPNC11 2-FPNC11]. |
Revision as of 11:16, 10 October 2016
Registration is a crucial step in medical image processing. Registration may be mono- or multimodal, rigid (intra-patient) or deformable (inter-patient) and may involve two or more images.
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PhD thesis
- S. Sharma, Estimation de l'atrophie cérébrale en IRM : application à la sclérose en plaques, septembre 2011
- A. Charnoz, Recalage d'organes intra-patient à partir de l'étude de leur réseau vasculaire : application au foie, janvier 2007
- V. Noblet, Recalage non rigide d'images cérébrales 3D avec contrainte de conservation de la topologie, mars 2006
- O. Musse, Contribution à la mise en correspondance non rigide d’images médicales : une approche paramétrique hiérarchique sous contraintes topologiques. Application au recalage déformable du cerveau en imagerie IRM, décembre 2000
- C. Nikou, Contribution au recalage d’images médicales multimodales : approches par fonctions de similarité robustes et modèles déformables physiques sous contraintes statistiques, mai 1999.