Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view

NeuroImage

Volumn 83, Issue , 2013, Pages 1051-1062

  Chen, Min ^a,c   Carass, Aaron ^a   Oh, Jiwon ^b   Nair, Govind ^c   Pham, Dzung L ^d   Reich, Daniel S ^b,c   Prince, Jerry L ^a  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

^d UNIFORMED SERVICES UNIVERSITY OF THE HEALTH SCIENCES   (United States)

Author keywords

Atlas construction; Digital homeomorphism; Magnetic resonance imaging; Spinal cord segmentation; Topology preserving segmentation

Indexed keywords

ACCURACY; ADULT; ARTICLE; ARTIFACT REDUCTION; CERVICAL SPINE; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LABORATORY AUTOMATION; MAJOR CLINICAL STUDY; MALE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PILOT STUDY; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SPINAL CORD; VALIDATION PROCESS; VERTEBRA;

ATLAS CONSTRUCTION; DIGITAL HOMEOMORPHISM; MAGNETIC RESONANCE IMAGING; SPINAL CORD SEGMENTATION; TOPOLOGY-PRESERVING SEGMENTATION;

ALGORITHMS; ATLASES AS TOPIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; SPINAL CORD;

EID: 84886437216     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.07.060     Document Type: Article

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