A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography
Joint Authors
Li, Qince
Dong, Suyu
Luo, Gongning
Cao, Shaodong
Zhang, Henggui
Wang, Kuanquan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-10
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Segmentation of the left ventricle (LV) from three-dimensional echocardiography (3DE) plays a key role in the clinical diagnosis of the LV function.
In this work, we proposed a new automatic method for the segmentation of LV, based on the fully convolutional networks (FCN) and deformable model.
This method implemented a coarse-to-fine framework.
Firstly, a new deep fusion network based on feature fusion and transfer learning, combining the residual modules, was proposed to achieve coarse segmentation of LV on 3DE.
Secondly, we proposed a method of geometrical model initialization for a deformable model based on the results of coarse segmentation.
Thirdly, the deformable model was implemented to further optimize the segmentation results with a regularization item to avoid the leakage between left atria and left ventricle to achieve the goal of fine segmentation of LV.
Numerical experiments have demonstrated that the proposed method outperforms the state-of-the-art methods on the challenging CETUS benchmark in the segmentation accuracy and has a potential for practical applications.
American Psychological Association (APA)
Dong, Suyu& Luo, Gongning& Wang, Kuanquan& Cao, Shaodong& Li, Qince& Zhang, Henggui. 2018. A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography. BioMed Research International،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1127418
Modern Language Association (MLA)
Dong, Suyu…[et al.]. A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography. BioMed Research International No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1127418
American Medical Association (AMA)
Dong, Suyu& Luo, Gongning& Wang, Kuanquan& Cao, Shaodong& Li, Qince& Zhang, Henggui. A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1127418
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127418