Mathematical model in left ventricle segmentation. (1st February 2015)

• Record Type: Journal Article
• Authors: Bugdol, Monika N.; Pietka, Ewa
• Is Part Of: Computers in biology and medicine. Volume 57(2015)
• Page Start: 187
• Page End: 200
• Publication Date: 2015-02-01
• Subjects: Cardiac MRI -- Left ventricle -- Automatic segmentation -- Parametric model -- Model-based segmentation; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2014.12.009
• Languages: English
• ISSNs: 0010-4825

Abstract

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. Abstract : Highlights: A parametric model of the left ventricle is presented. Bézier curves are used to model the left ventricle shape. The model improves the results obtained by other segmentation algorithms. The presented algorithm is fully automatic.