Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis method

Medical Physics

Volumn 41, Issue 9, 2014, Pages

  Lee, June Goo ^a   Gumus, Serter ^a   Moon, Chan Hong ^a   Kwoh, C Kent ^b   Bae, Kyongtae Ty ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

cartilage; knee magnetic resonance imaging; multi atlas segmentation; osteoarthritis

Indexed keywords

AUTOMATION; CARTILAGE; GRAPHIC METHODS; MAGNETIC RESONANCE IMAGING; SOFTWARE TESTING; STATISTICS;

INITIAL SEGMENTATION; NON-RIGID REGISTRATION SCHEME; OSTEOARTHRITIS; REGION ADJUSTMENT; SEGMENTATION SCHEME; SIMILARITY COEFFICIENTS; STATISTICAL INFORMATION; SURROUNDING REGIONS;

IMAGE SEGMENTATION;

ARTICLE; BONE CYST; CARTILAGE; COMPUTATION TIME; CONTROLLED STUDY; FEMUR; HUMAN; IMAGE ANALYSIS; IMAGING AND DISPLAY; IMAGING SOFTWARE; KNEE; LOCAL STRUCTURAL ANALYSIS; LOCALLY WEIGHTED VOTE; MAJOR CLINICAL STUDY; MULTI ATLAS SEGMENTATION; NUCLEAR MAGNETIC RESONANCE IMAGING; OSTEOPHYTE; STATISTICAL CONCEPTS; TIBIA; TIME; ACCESS TO INFORMATION; ALGORITHM; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; BOOK; EVALUATION STUDY; IMAGE PROCESSING; INFORMATION PROCESSING; INTERNET; PATHOLOGY; PROCEDURES;

ACCESS TO INFORMATION; ALGORITHMS; ATLASES AS TOPIC; CARTILAGE; DATASETS AS TOPIC; FEMUR; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERNET; KNEE; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; TIBIA; TIME;

EID: 84930354057     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4893533     Document Type: Article

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