STACOM-SLAWT Challenge: Left Atrial Wall Segmentation and Thickness Measurement Using Region Growing and Marker-Controlled Geodesic Active Contour

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• 关键词：Atrial fibrillation ; Left atrial wall thickness ; 3 ; Dimensional image segmentation ; Cardiac computed tomography (CT) ; Region growing ; Geodesic active contour
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10124
• 期：1
• 页码：211-219
• 丛书名：Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
• ISBN：978-3-319-52718-5
• 卷排序：10124

文摘

Analyzing the structure of the left atrium can provide precious insights into the pathology of atrial fibrillation, eventually resulting in optimization of treatment plans. 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. 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. The results of the left atrial wall thickness were then mapped onto meshes generated from the endocardium segmentation. 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. Aimed at facilitating the segmentation of the left atrial thin-wall structure, this pipeline is partially implemented in MUSIC software for clinical use. 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.