title: Fast detection & modelling of the real osteoarthritic holes in the human knee with contour interpolated radial basis functions.
abstract: In this article, we propose a novel method for the fast 3D reconstruction of real osteoarthritic (OA) holes in a human femoral cartilage. Initially, semi-automated Region-Based Segmentation (region-growing) and Bounding Box techniques are used to extract femoral cartilage slices from MRI scans of the knee. OA holes were detected and filled automatically by our contour interpolation/RBF (CI-RBF) method and 3D models of both the femoral cartilage and OA holes were reconstructed separately. The method was then applied to a single human knee and results proved it fast, reliable and accurate for reconstructing a 3D model of the femoral cartilage from MRI images with an extremely low root mean square error of 1.67% in the estimated volume of the automatically filled to the manually filled femoral cartilage slices. As per authors' knowledge this is the first time real OA hole has automatically been identified and filled.
authors.forename: Zarrar
authors.initials: Z
authors.lastname: Javaid
authors.forename: Charles P
authors.initials: CP
authors.lastname: Unsworth
authors.forename: Mark
authors.initials: M
authors.lastname: Boocock
authors.forename: Peter
authors.initials: P
authors.lastname: McNair
mesh_terms: D002358:Cartilage, Articular / Q000473:pathology*; D006801:Humans; D021621:Imaging, Three-Dimensional; D007719:Knee Joint / Q000473:pathology; D008279:Magnetic Resonance Imaging / Q000379:methods; D008954:Models, Biological; D020370:Osteoarthritis, Knee / Q000473:pathology*; D015203:Reproducibility of Results