Image Processing

Semiautomated biventricular segmentation in three-dimensional echocardiography by coupled deformable surfaces

[+] Author Affiliations
Jørn Bersvendsen, Eigil Samset

GE Vingmed Ultrasound AS, Horten, Norway

University of Oslo, Department of Informatics, Oslo, Norway

Center for Cardiological Innovation, Oslo, Norway

Fredrik Orderud

University of Oslo, Department of Informatics, Oslo, Norway

Øyvind Lie

Center for Cardiological Innovation, Oslo, Norway

Oslo University Hospital, Department of Cardiology, Oslo, Norway

Richard John Massey

Oslo University Hospital, Department of Cardiology, Oslo, Norway

Kristian Fosså

Oslo University Hospital, Department of Radiology and Nuclear Medicine, Oslo, Norway

Raúl San José Estépar

Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States

Stig Urheim

Oslo University Hospital, Department of Cardiology, Oslo, Norway

Oslo University Hospital, Institute for Surgical Research, Oslo, Norway

J. Med. Imag. 4(2), 024005 (May 24, 2017). doi:10.1117/1.JMI.4.2.024005
History: Received January 27, 2016; Accepted May 1, 2017
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Abstract.  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 2.8±0.4  mm, 3.2±0.7  mm, and 3.1±0.5  mm 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 2.1±0.4  s.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Jørn Bersvendsen ; Fredrik Orderud ; Øyvind Lie ; Richard John Massey ; Kristian Fosså, et al.
"Semiautomated biventricular segmentation in three-dimensional echocardiography by coupled deformable surfaces", J. Med. Imag. 4(2), 024005 (May 24, 2017). ; http://dx.doi.org/10.1117/1.JMI.4.2.024005


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