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A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset


Dawood, Faten Abed Ali and O. K. Rahmat, Rahmita Wirza and Kadiman, Suhaini and Abdullah, Lili Nurliyana and Dimon, Mohd Zamrin (2014) A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset. Advances in Bioinformatics, 2014. art. no. 207149. pp. 1-15. ISSN 1687-8027; ESSN: 1687-8035


This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. The overall framework comprises four processing phases. In Phase I, the region of interest (ROI) is identified by estimating the cavity boundary. Speckle noise reduction and contrast enhancement were implemented in Phase II as preprocessing tasks. In Phase III, the RV cavity region was segmented by generating intensity threshold which was used for once for all frames. Finally, Phase IV is proposed to extract the RV endocardial contour in a complete cardiac cycle using a combination of shape-based contour detection and improved radial search algorithm. The proposed method was applied to 16 datasets of 3D echocardiography encompassing the RV in long-axis view. The accuracy of experimental results obtained by the proposed method was evaluated qualitatively and quantitatively. It has been done by comparing the segmentation results of RV cavity based on endocardial contour extraction with the ground truth. The comparative analysis results show that the proposed method performs efficiently in all datasets with overall performance of 95% and the root mean square distances (RMSD) measure in terms of mean ± SD was found to be 2.21 ± 0.35 mm for RV endocardial contours.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1155/2014/207149
Publisher: Hindawi Publishing Corporation
Keywords: Right ventricle endocardial contour extraction; 3D echocardiography dataset
Depositing User: Nabilah Mustapa
Date Deposited: 14 Sep 2015 12:23
Last Modified: 30 Oct 2017 03:17
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1155/2014/207149
URI: http://psasir.upm.edu.my/id/eprint/36172
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