Magnetic resonance image segmentation using semi-automated software for quantification of knee articular cartilage—initial evaluation of a technique for paired scans - Brem, M. H.; Lang, P. K.; Neumann, G.; Schlechtweg, P. M.; Schneider, E.; Jackson, R.; Yu, J.; Eaton, C. B.; Hennig, F. F.; Yoshioka, H.; Pappas, G.; Duryea, J. (Skeletal radiology, 2009)
Keywords: Adult; Aged; Algorithms; Biological and medical sciences; Cartilage, Articular - pathology; Diseases of the osteoarticular system; Female; Humans; Image Interpretation, Computer-Assisted; Imaging; Investigative techniques, diagnostic techniques (general aspects); Magnetic Resonance Imaging - methods; Male; Medical sciences; Medicine; Medicine & Public Health; Middle Aged; Miscellaneous. Osteoarticular involvement in other diseases; Nuclear Medicine; Orthopedics; Osteoarthritis; Osteoarthritis, Knee - diagnosis; Osteoarticular system. Muscles; Pathology; Pilot Projects; Radiodiagnosis. Nmr imagery. Nmr spectrometry; Radiology; Reproducibility of Results; Scientific Article; Software; Knee; Cartilage; Segmentation; MRI; Osteoarthritis; Nuclear medicine; Diseases of the osteoarticular system; Nuclear magnetic resonance imaging; Articular cartilage; Orthopedics; Arthropathy; Medical imagery; Degenerative disease; Technique