Fully automated level set-based segmentation for knee MRIs using an adaptive force function and template: data from the osteoarthritis initiative

摘要

BackgroundThis study focuses on osteoarthritis (OA), which affects millions of adults and occurs in knee cartilage. Diagnosis of OA requires accurate segmentation of cartilage structures. Existing approaches to cartilage segmentation of knee imaging suffer from either lack of fully automatic algorithm, sub-par segmentation accuracy, or failure to consider all three cartilage tissues.