Impact of Various Clinical Situations in Heart Failure Outcomes

Methods: 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 and late systole 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 successfully as well. Conclusions: Computational segmentation and modelling of degenerative mitral disease may improve the understanding of 3D complexity of MV and may facilitate diagnostic precision of this disease for further surgical planning.