title: Spine detection and labeling using a parts-based graphical model.
abstract: The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and the complexity and performance of the subsequent structural inference from the viewpoint of combinatorial optimization. Concerning the latter, computationally efficient methods are of particular interest that return the globally-optimal structure. We present an efficient method for part-based localization of anatomical structures which embeds contextual shape knowledge in a probabilistic graphical model. It allows for robust detection even when some of the part detections are missing. The application scenario for our statistical evaluation is spine detection and labeling in magnetic resonance images.
authors.affiliation: Philips Research Europe - Hamburg, Germany. Stefan.Schmidt@ti.uni-mannhein.de
authors.forename: Stefan
authors.initials: S
authors.lastname: Schmidt
authors.forename: Jörg
authors.initials: J
authors.lastname: Kappes
authors.forename: Martin
authors.initials: M
authors.lastname: Bergtholdt
authors.forename: Vladimir
authors.initials: V
authors.lastname: Pekar
authors.forename: Sebastian
authors.initials: S
authors.lastname: Dries
authors.forename: Daniel
authors.initials: D
authors.lastname: Bystrov
authors.forename: Christoph
authors.initials: C
authors.lastname: Schnörr
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013131:Spine / Q000033:anatomy & histology*; D013382:Subtraction Technique