CERES: A new cerebellum lobule segmentation method - Archive ouverte HAL Access content directly
Journal Articles NeuroImage Year : 2016

CERES: A new cerebellum lobule segmentation method

Abstract

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).
Fichier principal
Vignette du fichier
CERES_manuscript_final_HAL.pdf (1.69 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01398748 , version 1 (17-11-2016)

Licence

Identifiers

Cite

Jose E Romero, Pierrick Coupé, Rémi Giraud, Vinh-Thong Ta, Vladimir S Fonov, et al.. CERES: A new cerebellum lobule segmentation method. NeuroImage, 2016, ⟨10.1016/j.neuroimage.2016.11.003⟩. ⟨hal-01398748⟩

Collections

CNRS IMB INSMI ANR
1105 View
835 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More