Semiautomated biventricular segmentation in three-dimensional echocardiography by coupled deformable surfaces
Autor: | Kristian Fosså, Eigil Samset, Richard Massey, Jørn Bersvendsen, Fredrik Orderud, Stig Urheim, Øyvind H. Lie, Raúl San José Estépar |
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Rok vydání: | 2017 |
Předmět: |
medicine.medical_specialty
business.industry Image Processing Three dimensional echocardiography Image segmentation 030204 cardiovascular system & hematology Endocardial border 3D modeling 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Internal medicine Medical imaging Cardiology medicine Radiology Nuclear Medicine and imaging Computer vision Segmentation Artificial intelligence business Focus (optics) Endocardium |
Zdroj: | Journal of Medical Imaging. 4:024005 |
ISSN: | 2329-4302 |
DOI: | 10.1117/1.jmi.4.2.024005 |
Popis: | With the advancement of three-dimensional (3-D) real-time echocardiography in recent years, automatic creation of patient specific geometric models is becoming feasible and important in clinical decision making. However, the vast majority of echocardiographic segmentation methods presented in the literature focus on the left ventricle (LV) endocardial border, leaving segmentation of the right ventricle (RV) a largely unexplored problem, despite the increasing recognition of the RV's role in cardiovascular disease. We present a method for coupled segmentation of the endo- and epicardial borders of both the LV and RV in 3-D ultrasound images. To solve the segmentation problem, we propose an extension of a successful state-estimation segmentation framework with a geometrical representation of coupled surfaces, as well as the introduction of myocardial incompressibility to regularize the segmentation. The method was validated against manual measurements and segmentations in images of 16 patients. Mean absolute distances of [Formula: see text], [Formula: see text], and [Formula: see text] between the proposed and reference segmentations were observed for the LV endocardium, RV endocardium, and LV epicardium surfaces, respectively. The method was computationally efficient, with a computation time of [Formula: see text]. |
Databáze: | OpenAIRE |
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