CERES: A new cerebellum lobule segmentation method.
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).
Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Jose E
JE
Romero
University of Bordeaux, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France.
Pierrick
P
Coupé
University of Bordeaux, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France.
Rémi
R
Giraud
University of Bordeaux, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France; Bordeaux INP, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France.
Vinh-Thong
VT
Ta
BIC, Montreal Neurological Institute, Montreal, Canada.
Vladimir
V
Fonov
Schulich School of Medicine and Dentistry, Western University, London, Canada; Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.
Min Tae M
MTM
Park
Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Canada.
M Mallar
MM
Chakravarty
Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Canada; Centre for Addiction and Mental Health, Toronto, Canada.
Aristotle N
AN
Voineskos
Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Jose V
JV
Manjón
D000328:Adult; D001271:Atlases as Topic; D002531:Cerebellum / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D012559:Schizophrenia / Q000000981:diagnostic imaging / Q000473:pathology
Cerebellum lobule segmentation; MRI; Non-local multi-atlas patch-based label fusion; Optimized PatchMatch