Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier
Joint Authors
Zhang, Jianming
Liu, Yangchun
Xu, Wei
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The position of the hinge point of mitral annulus (MA) is important for segmentation, modeling and multimodalities registration of cardiac structures.
The main difficulties in identifying the hinge point of MA are the inherent noisy, low resolution of echocardiography, and so on.
This work aims to automatically detect the hinge point of MA by combining local context feature with additive support vector machines (SVM) classifier.
The innovations are as follows: (1) designing a local context feature for MA in cardiac ultrasound image; (2) applying the additive kernel SVM classifier to identify the candidates of the hinge point of MA; (3) designing a weighted density field of candidates which represents the blocks of candidates; and (4) estimating an adaptive threshold on the weighted density field to get the position of the hinge point of MA and exclude the error from SVM classifier.
The proposed algorithm is tested on echocardiographic four-chamber image sequence of 10 pediatric patients.
Compared with the manual selected hinge points of MA which are selected by professional doctors, the mean error is in 0.96 ± 1.04 mm.
Additive SVM classifier can fast and accurately identify the MA hinge point.
American Psychological Association (APA)
Zhang, Jianming& Liu, Yangchun& Xu, Wei. 2015. Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057895
Modern Language Association (MLA)
Zhang, Jianming…[et al.]. Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057895
American Medical Association (AMA)
Zhang, Jianming& Liu, Yangchun& Xu, Wei. Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057895
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057895