ROMERO, Jose; COUPÉ, Pierrick; GIRAUD, Rémi; TA, Vinh-Thong; FONOV, Vladimir; PARK, Min Tae; CHAKRAVARTY, Mallar; VOINESKOS, Aristotle; MANJÓN, Jose

doi:10.1016/j.neuroimage.2016.11.003

Métadonnées

Afficher la notice complète

Licence d’utilisation du document

http://creativecommons.org/licenses/by-nc-nd/

ROMERO, Jose
ITACA

COUPÉ, Pierrick
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

GIRAUD, Rémi
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Institut Polytechnique de Bordeaux [Bordeaux INP]
Institut de Mathématiques de Bordeaux [IMB]

Langue

Article de revue

Ce document a été publié dans

NeuroImage. 2016

Elsevier

Résumé en anglais

The human cerebellum is involved in language, motor tasks and cognitive processes such as attention or emotional processing. Therefore, an automatic and accurate segmentation method is highly desirable to measure and understand the cerebellum role in normal and pathological brain development. In this work, we propose a patch-‐based multi-‐atlas segmentation tool called CERES (CEREbellum Segmentation) that is able to automatically parcellate the cerebellum lobules. The proposed method works with standard resolution magnetic resonance T1-‐weighted images and uses the Optimized PatchMatch algorithm to speed up the patch matching process. The proposed method was compared with related recent state-‐of-‐the-‐art methods showing competitive results in both accuracy (average DICE of 0.7729) and execution time (around 5 minutes).< Réduire

Mots clés en anglais

MRI

cerebellum lobule segmentation

non-‐local multi-‐atlas patch-‐based label fusion

optimized patchmatch

URI

https://oskar-bordeaux.fr/handle/20.500.12278/193914

DOI

http://dx.doi.org/10.1016/j.neuroimage.2016.11.003

Project ANR

Translational Research and Advanced Imaging Laboratory - ANR-10-LABX-0057

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251