title: Mathematical model in left ventricle segmentation.
abstract: In this paper a parametric model of the left ventricle is presented. Its task is to estimate the myocardium shape on those slices, on which the segmentation algorithm has outlined the structure incorrectly. The aim of using the model on improperly segmented slices is to improve the accuracy of computing cardiac hemodynamic parameters and the heart mass. The proposed model works with any segmentation algorithm. The usefulness of the model is the largest while determining the myocardium at end-systole and calculating the heart mass. In case of the segmentation algorithm applied in this study, the error decreased from clinically unacceptable to acceptable after using the presented model.
authors.affiliation: Faculty of Biomedical Engineering, Silesian University of Technology, Akademicka 16, Gliwice, Poland. Electronic address: Monika.Bugdol@polsl.pl.
authors.forename: Monika N
authors.initials: MN
authors.lastname: Bugdol
authors.affiliation: Faculty of Biomedical Engineering, Silesian University of Technology, Akademicka 16, Gliwice, Poland. Electronic address: Ewa.Pietka@polsl.pl.
authors.forename: Ewa
authors.initials: E
authors.lastname: Pietka
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D006321:Heart / Q000033:anatomy & histology / Q000502:physiology; D006352:Heart Ventricles / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D013599:Systole / Q000502:physiology; D016276:Ventricular Function / Q000502:physiology*
keywords: Automatic segmentation; Cardiac MRI; Left ventricle; Model-based segmentation; Parametric model