title: Cephalometric landmarks identification using probabilistic relaxation.
abstract: In this paper, we develop methodology to locate cephalometric landmarks on X-ray images based on probabilistic relaxation, which combines local contextual information from the general shape of the bones of the head (used as measurements specific to each landmark in the form of its shape context) and relational information, expressing the relative position of the landmarks with respect to each other.
authors.affiliation: Department of Electrical and Electronic Engineering, Communications and Signal Processing Group, Imperial College, London, SW7 2AZ, UK.
authors.forename: Leila
authors.initials: L
authors.lastname: Favaedi
authors.forename: Maria
authors.initials: M
authors.lastname: Petrou
mesh_terms: D000465:Algorithms; D002508:Cephalometry / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D008953:Models, Anatomic; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012886:Skull / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D013382:Subtraction Technique