Development of a fully automatic shape model matching (FASMM) system to derive statistical shape models from radiographs: Application to the accurate capture and global representation of proximal femur shape

Osteoarthritis and Cartilage

Volumn 21, Issue 10, 2013, Pages 1537-1544

  Lindner, C ^a   Thiagarajah, S ^b   Wilkinson, J M ^b   Wallis, G A ^c   Cootes, T F ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Hip morphology; Osteoarthritis; Proximal femur; Shape analysis; Statistical shape models

Indexed keywords

ANTERIOR POSTERIOR AXIS; ARTICLE; BONE RADIOGRAPHY; FEMALE; FEMUR; FULLY AUTOMATIC SHAPE MODEL MATCHING SYSTEM; GEOMETRY; HIP OSTEOARTHRITIS; HUMAN; IMAGING SYSTEM; INFORMED CONSENT; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; PELVIS; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; STATISTICAL MODEL;

HIP MORPHOLOGY; OSTEOARTHRITIS; PROXIMAL FEMUR; SHAPE ANALYSIS; STATISTICAL SHAPE MODELS;

FEMALE; FEMUR; FEMUR HEAD; FEMUR NECK; HUMANS; MALE; MODELS, ANATOMIC; MODELS, STATISTICAL; OBSERVER VARIATION; OSTEOARTHRITIS, HIP; PELVIC BONES; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SEX CHARACTERISTICS;

EID: 84884159258     PISSN: 10634584     EISSN: 15229653     Source Type: Journal    
DOI: 10.1016/j.joca.2013.08.008     Document Type: Article

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