Bayesian segmentation of brainstem structures in MRI

NeuroImage

Volumn 113, Issue , 2015, Pages 184-195

  Iglesias, Juan Eugenio ^a   Van Leemput, Koen ^b,e,f   Bhatt, Priyanka ^c   Casillas, Christen ^c   Dutt, Shubir ^c   Schuff, Norbert ^g   Truran Sacrey, Diana ^g   Boxer, Adam ^c   Fischl, Bruce ^b,d  

^a BASQUE CENTER ON COGNITION   (Spain)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^e TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^f AALTO UNIVERSITY   (Finland)

^g UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bayesian segmentation; Brainstem; Probabilistic atlas

Indexed keywords

ACCURACY; ADULT; AGE; AGED; ARTICLE; BAYES THEOREM; BRAIN SIZE; BRAIN STEM; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE SEGMENTATION; IMAGING AND DISPLAY; MALE; MEDULLA OBLONGATA; MESENCEPHALON; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PONS; PRIORITY JOURNAL; SUPERIOR CEREBELLAR PEDUNCLE; AGING; ALGORITHM; ANATOMY AND HISTOLOGY; ATROPHY; BOOK; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; INFORMATION PROCESSING; MIDDLE AGED; PHYSIOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

AGED; AGING; ALGORITHMS; ATLASES AS TOPIC; ATROPHY; BAYES THEOREM; BRAIN STEM; DATASETS AS TOPIC; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MESENCEPHALON; MIDDLE AGED; MODELS, STATISTICAL; PONS; REPRODUCIBILITY OF RESULTS;

EID: 84926362369     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.02.065     Document Type: Article

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