![]() ![]() Zoni-Berisso, M., Lercari, F., Carazza, T., Domenicucci, S., et al.: Epidemiology of atrial fibrillation: European perspective. The expertise of clinicians can be added through the choice of specific parameters for each patient, although this remains optional owing to the robustness of the approach. Aimed at facilitating the segmentation of the left atrial thin-wall structure, this pipeline is partially implemented in MUSIC software for clinical use. We tested our pipeline on 10 datasets as a part of the STACOM 2016 Left Atrial Wall Segmentation Challenge and we compared our method with manual segmentation. The results of the left atrial wall thickness were then mapped onto meshes generated from the endocardium segmentation. A region growing algorithm was adapted to segment the left atrial endocardium, whereas the left atrial epicardium was segmented indirectly: a marker-controlled geodesic active contour model was defined on its surrounding environment. ![]() In this paper, an interactive and patient-specific method is presented to segment the left atrial endocardium(We refer to the segmentation of the region inside the left atrial endocardium as the segmentation of the left atrial endocardium, the same for epicardium.), the left atrial epicardium and measure the left atrial wall thickness from cardiac computed tomography images. Analyzing the structure of the left atrium can provide precious insights into the pathology of atrial fibrillation, eventually resulting in optimization of treatment plans. ![]()
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