title: A non-invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI. Part 1: Development of a computational method.
abstract: Articular cartilage thickness is of relevance in various fields in diagnostics and biomedical research. In view of recent improvements of MR cartilage imaging a computational method has been developed for three-dimensional determination of cartilage thickness from tomographic datasets. A correction algorithm that compensates for the error implied in the voxel based distance measurements is implemented. Four different thickness definitions have been applied to two numerical test structures in order to judge their usability in the medical realm. The results for each of the thickness measurement methods are shown as color-coded thickness maps wrapped round the test objects. An algorithm determining at each point the minimal distance from the articular surface to the bone-cartilage interface is suggested to give the most suitable demonstration of articular cartilage. This algorithm is successfully applied to a 3-dimensional data set of human knee joint cartilage obtained with a fat-suppressed gradient-echo sequence from a healthy volunteer. A non-invasive method for determining cartilage thickness could become a very valuable tool in diagnostic radiology, orthopaedic practice and biomechanics.
authors.affiliation: GSF-National Research Center for Environment and Health, Institute for Medical Informatics and Health Services Research, Neuherberg, Germany. loesch@gsf.de
authors.forename: A
authors.initials: A
authors.lastname: Lösch
authors.forename: F
authors.initials: F
authors.lastname: Eckstein
authors.forename: M
authors.initials: M
authors.lastname: Haubner
authors.forename: K H
authors.initials: KH
authors.lastname: Englmeier
mesh_terms: D000328:Adult; D000465:Algorithms; D002358:Cartilage, Articular / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007719:Knee Joint / Q000033:anatomy & histology; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008961:Models, Structural; D012815:Signal Processing, Computer-Assisted