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

• Published in: Osteoarthritis and cartilage Vol. 21; no. 10; pp. 1537 - 1544
• Main Authors: Lindner, C., Thiagarajah, S., Wilkinson, J.M., Wallis, G.A., Cootes, T.F.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.10.2013
• Subjects: Female; Femur - diagnostic imaging; Femur - pathology; Femur Head - diagnostic imaging; Femur Head - pathology; Femur Neck - diagnostic imaging; Femur Neck - pathology; Hip morphology; Humans; Male; Models, Anatomic; Models, Statistical; Observer Variation; Osteoarthritis; Osteoarthritis, Hip - diagnostic imaging; Osteoarthritis, Hip - pathology; Pelvic Bones - diagnostic imaging; Proximal femur; Radiographic Image Interpretation, Computer-Assisted - methods; Rheumatology; Sex Characteristics; Shape analysis; Statistical shape models; Hip morphology; Shape analysis; Proximal femur; Osteoarthritis; Statistical shape models

To evaluate the accuracy and sensitivity of a fully automatic shape model matching (FASMM) system to derive statistical shape models (SSMs) of the proximal femur from non-standardised anteroposterior (AP) pelvic radiographs. AP pelvic radiographs obtained with informed consent and appropriate ethica...