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Patient specific Segmentation And Modelling Of The Ischaemic Mitral Valve From 3d Echocardiography
Abdullrazak Hossien.
Morriston University Hospital, Swansea, United Kingdom.

Purpose: The surgical repair of ischemic mitral regurgitation (IMR) is very complex procedure. We propose a new method to segment the ischemic mitral valve (MV) computationally to enhance the understanding of 3D complexity of MV and to create a mathematical model for further finite element simulation of MV. Method and Materials: We obtained images of the mitral valve using 3 dimensional transoephageal-echocardiography (3D TOE) with full measurements. 3D TOE image volumes of the mitral valve at mid-systole and mid-diastole were selected. The images were sliced and segmented computationally by using open source software program and mathematical equations to build a MV model. Results: A high quality image set of the mitral valve was retrieved from 3D TOE. The slicing of images results in 85 images of 0.35 mm thickness. The reconstruction of the slices results in 3D anatomical segmentation of the MV. Binary STL file (STereoLithography) was built by processing the segmented MV model which was meshed as well. Conclusions: Computational segmentation and modelling of ischemic mitral valve may improve the understanding of 3D complexity of MV and may facilitate diagnostic precision of IMR for further surgical planning.


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