title: Decoupled external forces in a predictor-corrector segmentation scheme for LV contours in Tagged MR images.
abstract: Computation of functional regional scores requires proper identification of LV contours. On one hand, manual segmentation is robust, but it is time consuming and requires high expertise. On the other hand, the tag pattern in TMR sequences is a problem for automatic segmentation of LV boundaries. We propose a segmentation method based on a predictor-corrector (Active Contours - Shape Models) scheme. Special stress is put in the definition of the AC external forces. First, we introduce a semantic description of the LV that discriminates myocardial tissue by using texture and motion descriptors. Second, in order to ensure convergence regardless of the initial contour, the external energy is decoupled according to the orientation of the edges in the image potential. We have validated the model in terms of error in segmented contours and accuracy of regional clinical scores.
authors.affiliation: Computer Vision Center and Department of Computer Science, Univ. Autonoma de Barcelona, Bellaterra, Spain. jaumegb@cvc.uab.es
authors.forename: Jaume
authors.initials: J
authors.lastname: Garcia-Barnes
authors.forename: Albert
authors.initials: A
authors.lastname: Andaluz
authors.forename: Francesc
authors.initials: F
authors.lastname: Carreras
authors.forename: Debora
authors.initials: D
authors.lastname: Gil
mesh_terms: D000465:Algorithms; D006352:Heart Ventricles / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018487:Ventricular Dysfunction, Left / Q000473:pathology*