{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T15:54:11Z","timestamp":1649087651107},"reference-count":27,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2014,10,12]],"date-time":"2014-10-12T00:00:00Z","timestamp":1413072000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Bioinformatics"],"published-print":{"date-parts":[[2014,10,12]]},"abstract":"<jats:p>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 \u00b1 SD was found to be 2.21 \u00b1 0.35\u2009mm for RV endocardial contours.<\/jats:p>","DOI":"10.1155\/2014\/207149","type":"journal-article","created":{"date-parts":[[2014,10,12]],"date-time":"2014-10-12T21:01:54Z","timestamp":1413147714000},"page":"1-15","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Method for Endocardial Contour Extraction of Right Ventricle in 4-Slices from 3D Echocardiography Dataset"],"prefix":"10.1155","volume":"2014","author":[{"given":"Faten A.","family":"Dawood","sequence":"first","affiliation":[{"name":"Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq"},{"name":"Department of Multimedia, Faculty of Computer Science and Information Technology, UPM, 43400 Serdang, Selangor, 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