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Rayegan, H. (author), Nguyen, H. C. (author), Weinans, Harrie (author), Gielis, W. P. (author), Ahmadi Brooghani, S. Y. (author), Custers, R. J.H. (author), van Egmond, N. (author), Lindner, C. (author), Arbabi, V. (author)
Objective: Herewith, we report the development of Orthopedic Digital Image Analysis (ODIA) software that is developed to obtain quantitative measurements of knee osteoarthritis (OA) radiographs automatically. Manual segmentation and measurement of OA parameters currently hamper large-cohort analyses, and therefore, automated and reproducible...
journal article 2023
document
Gielis, Willem Paul (author), Rayegan, Hassan (author), Arbabi, V. (author), Ahmadi Brooghani, Seyed Y. (author), Lindner, Claudia (author), Cootes, Tim F. (author), de Jong, Pim A. (author), Weinans, Harrie (author), Custers, Roel J.H. (author)
Background and purpose — Being able to predict the hip–knee–ankle angle (HKAA) from standard knee radiographs allows studies on malalignment in cohorts lacking full-limb radiography. We aimed to develop an automated image analysis pipeline to measure the femoro-tibial angle (FTA) from standard knee radiographs and test various FTA definitions...
journal article 2020