title: Automatic segmentation of the articular cartilage in knee MRI using a hierarchical multi-class classification scheme.
abstract: Osteoarthritis is characterized by the degeneration of the articular cartilage in joints. We have developed a fully automatic method for segmenting the articular cartilage in knee MR scans based on supervised learning. A binary approximate kNN classifier first roughly separates cartilage from background voxels, then a three-class classifier assigns one of three classes to each voxel that is classified as cartilage by the binary classifier. The resulting sensitivity and specificity are 90.0% and 99.8% respectively for the medial cartilage compartments. We show that an accurate automatic cartilage segmentation is achievable using a low-field MR scanner.
authors: Image Analysis Group, IT University of Copenhagen, Denmark. jenny@itu.dk
authors: Jenny
authors: J
authors: Folkesson
authors: Erik
authors: E
authors: Dam
authors: Ole Fogh
authors: OF
authors: Olsen
authors: Paola
authors: P
authors: Pettersen
authors: Claus
authors: C
authors: Christiansen