title: Endocardium and epicardium contour modeling based on Markov Random Fields and active contours.
abstract: A segmentation application prototype of the volume of the left ventricle for Magnetic Resonance Imaging is being developed. The foundation for this work is given by modeling possible radial deformations of the epicardium and endocardium contours by means of a Markov Random Field over which the most probable configuration is estimated. The field makes use of a Bayesian approach based on a priori terms which impose smoothness along the coupled contours and likelihood terms which gather information provided by the images about the areas where the contours are supposed to be. The parameters of the field are estimated on a supervised basis.
authors.affiliation: Laboratorio de Procesado de Imagen, Escuela Técnica Superior de Ingenieros de Telecomunicación, University of Valladolid, Valladolid, Spain. lcorgra@lpi.tel.uva.es
authors.forename: Lucilio
authors.initials: L
authors.lastname: Cordero-Grande
authors.forename: Pablo
authors.initials: P
authors.lastname: Casaseca-de-la-Higuera
authors.forename: Marcos
authors.initials: M
authors.lastname: Martín-Fernández
authors.forename: Carlos
authors.initials: C
authors.lastname: Alberola-López
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D004699:Endocardium / Q000033:anatomy & histology*; 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*; D008390:Markov Chains; D008955:Models, Cardiovascular; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D010496:Pericardium / Q000033:anatomy & histology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity