Segmentation of Patient-Specific 3D Cardiac Magnetic Resonance Images of Human Right Ventricle Public
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Right Ventricular (RV) dysfunction is a common cause of heart failure in patients with congenital heart defects and often leads to impaired functional capacity and premature death. 3D cardiac magnetic resonance imaging (CMR)-based RV/LV combination models with fluid-structure interactions have been introduced to perform mechanical analysis and optimize RV remodeling surgery. Obtaining accurate RV/LV morphology is a very important step in the model-constructing process. A semi-automatic segmentation process was introduced in this project to obtain RV/LV/Valve geometry from patient-specific 3D CMR images. A total of 420 contour results were obtained from one patient CMRI data using QMASS software package at Department of Cardiology of ChildrenÂ¡Â¯s hospital. The digital contour data were automatically acquired using a self-developed program written in MATLAB. 3D visualizations of the RV/LV combination model at different phases throughout the cardiac cycle were presented and RV/LV volume curves were given showing the volume variation based on digital contour data under MATLAB environment. For the patient considered, the RV stoke volume (SV) is 190.8 ml (normal value is 60-136 ml) and ejection fraction is 43.5% (normal value is 47%-63%). In future work, the surgical, CMR imaging and computational modeling will be integrated together to optimize patch design and RV volume reduction surgery procedures to maximize recovery of RV cardiac function.
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