Authors
Yi Su, May-Ling Tan, Chi-Wan Lim, Soo-Kng Teo, Senthil Kumar Selvaraj, Min Wan, Liang Zhong, Ru-San Tan
Publication date
2014/9/7
Conference
Computing in Cardiology 2014
Pages
705-708
Publisher
IEEE
Description
This paper describes a computer method to correct the shape of three-dimensional (3D) left ventricle (LV) models created from magnetic resonance imaging (MRI) data that is affected by patient motion during scanning. Three-dimensional meshes of the LV endocardial and epicardial surfaces are created from border-delineated MRI data at every time frame of the cardiac cycle to generate a time-series model of the heart. A geometrically-based approach is used to achieve smooth epicardial shapes by iterative in-plane translation of vertices in the LV model. The Principal Curvatures of the LV epicardial surfaces across multiple time frames are used to construct a shape-based optimization objective function to restore the shape of the LV via a dual-resolution semi-rigid deformation process and a free-form geometric deformation process. A limited memory quasi-Newton algorithm, L-BFGS-B, is then used to solve the …
Total citations
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Scholar articles
Y Su, ML Tan, CW Lim, SK Teo, SK Selvaraj, M Wan… - Computing in Cardiology 2014, 2014