Magnetic resonance image segmentation using semi-automated software for quantification of knee articular cartilage - Initial evaluation of a technique for paired scans

Skeletal Radiology

Volumn 38, Issue 5, 2009, Pages 505-511

  Brem, M H ^a,f   Lang, P K ^a   Neumann, G ^a   Schlechtweg, P M ^a   Schneider, E ^b,c   Jackson, R ^d   Yu, J ^d   Eaton, C B ^e   Hennig, F F ^f   Yoshioka, H ^a   Pappas, G ^a   Duryea, J ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b SciTrials LLC   (United States)

^c LERNER RESEARCH INSTITUTE   (United States)

^d OHIO STATE UNIVERSITY   (United States)

^e BROWN UNIVERSITY   (United States)

^f UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Cartilage; Knee; MRI; Osteoarthritis; Segmentation

Indexed keywords

ADULT; AGED; ARTICLE; ARTICULAR CARTILAGE; BONE DENSITY; BONE MASS; CLINICAL ARTICLE; CLINICAL EVALUATION; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; FEMUR; HUMAN; KNEE; KNEE PAIN; MALE; MORPHOMETRICS; NUCLEAR MAGNETIC RESONANCE IMAGING; OSTEOARTHRITIS; PATELLA; PRIORITY JOURNAL; REPRODUCIBILITY; SURFACE PROPERTY; THREE DIMENSIONAL IMAGING; TIBIA;

ADULT; AGED; ALGORITHMS; CARTILAGE, ARTICULAR; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; OSTEOARTHRITIS, KNEE; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 62949225732     PISSN: 03642348     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00256-009-0658-1     Document Type: Article

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