Automatic atlas-based three-label cartilage segmentation from MR knee images

Medical Image Analysis

Volumn 18, Issue 7, 2014, Pages 1233-1246

  Shan, Liang ^a   Zach, Christopher ^b   Charles, Cecil ^c   Niethammer, Marc ^a,d  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b TOSHIBA CORPORATION   (Japan)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Atlas; Automatic; Cartilage; Segmentation; Three label

Indexed keywords

BRAIN MAPPING; CARTILAGE; NEUROIMAGING;

ANISOTROPIC REGULARIZATIONS; ATLAS; AUTOMATIC; CARTILAGE SEGMENTATION; HIGH-QUALITY SEGMENTATION; LARGE IMAGE DATABASE; SEGMENTATION METHODS; THREE-LABEL;

IMAGE SEGMENTATION;

ANALYTIC METHOD; ARTICLE; ATLAS BASED SEGMENTATION; AUTOMATION; CARTILAGE; CLASSIFICATION; CONTROLLED STUDY; ENERGY; FEMUR; FRACTIONAL ANISOTROPY; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; KNEE; LONGITUDINAL STUDY; MEDICAL TERMINOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TIBIA; VALIDATION STUDY; ALGORITHM; ARTICULAR CARTILAGE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; KNEE OSTEOARTHRITIS; PATHOLOGY; PROCEDURES;

ALGORITHMS; CARTILAGE, ARTICULAR; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; OSTEOARTHRITIS, KNEE;

EID: 84923176442     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.05.008     Document Type: Article

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