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The Echocardiographic Analysis of Aortic Root Structure Based on Gaussian Process and Hidden Space Segmentation

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The significance of automatic measurement of transesophageal three-dimensional echocardiography in the selection of valve models for transcatheter aortic valve replacement (TAVR) was discussed. Selecting the imaginary TAVR valve model according to the aforementioned 2D-TTE, 2D-TEE, 3D-TEE esie valves' semi-automatic monitoring method and the monitoring data of the aortic valve ring obtained by the MDCT valve valve. The model selection criteria are based on the user manual taking SAPIEN 3 valves, Core Valve valves and Lotus valves as examples. The comparison of model selection results is carried out by using hidden space segmentation of Gauss process. The same result as that of the MDCT valve can be achieved when the TAVR valve model is selected according to the automatic measurement result of theesie Valves 3D-TEE.

Keywords: AORTA; ECHOCARDIOGRAPHY; GAUSS PROCESS; HIDDEN SPACE SEGMENTATION; ROOT STRUCTURE

Document Type: Research Article

Publication date: 01 August 2019

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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