title: Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model.
abstract: A stochastic deformable model is proposed for the segmentation of the myocardium in Magnetic Resonance Imaging. The segmentation is posed as a probabilistic optimization problem in which the optimal time-dependent surface is obtained for the myocardium of the heart in a discrete space of locations built upon simple geometric assumptions. For this purpose, first, the left ventricle is detected by a set of image analysis tools gathered from the literature. Then, the segmentation solution is obtained by the Maximization of the Posterior Marginals for the myocardium location in a Markov Random Field framework which optimally integrates temporal-spatial smoothness with intensity and gradient related features in an unsupervised way by the Maximum Likelihood estimation of the parameters of the field. This scheme provides a flexible and robust segmentation method which has been able to generate results comparable to manually segmented images for some derived cardiac function parameters in a set of 43 patients affected in different degrees by an Acute Myocardial Infarction.
authors.affiliation: Laboratorio de Procesado de Imagen, Escuela Técnica Superior de Ingenieros de Telecomunicación, Campus Miguel Delibes s.n., 47011 Valladolid, Spain. lcorgra@lpi.tel.uva.es
authors.forename: L
authors.initials: L
authors.lastname: Cordero-Grande
authors.forename: G
authors.initials: G
authors.lastname: Vegas-Sánchez-Ferrero
authors.forename: P
authors.initials: P
authors.lastname: Casaseca-de-la-Higuera
authors.forename: J Alberto
authors.initials: JA
authors.lastname: San-Román-Calvar
authors.forename: Ana
authors.initials: A
authors.lastname: Revilla-Orodea
authors.forename: M
authors.initials: M
authors.lastname: Martín-Fernández
authors.forename: C
authors.initials: C
authors.lastname: Alberola-López
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008390:Markov Chains; D008954:Models, Biological; D008955:Models, Cardiovascular; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity