Knowledge Commons of Institute of Automation,CAS
Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming | |
G. Dharanibai1; Anupama Chandrasekharan2; Zachariah C. Alex1 | |
发表期刊 | International Journal of Automation and Computing
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ISSN | 1476-8186 |
2018 | |
卷号 | 15期号:6页码:673-688 |
摘要 | The aim of this work is to develop an improved region based active contour and dynamic programming based method for accurate segmentation of left ventricle (LV) from multi-slice cine short axis cardiac magnetic resonance (MR) images. Intensity inhomogeneity and weak object boundaries present in MR images hinder the segmentation accuracy. The proposed active contour model driven by a local Gaussian distribution fitting (LGDF) energy and an auxiliary global intensity fitting energy improves the accuracy of endocardial boundary detection. The weightage of the global energy fitting term is dynamically adjusted using a spatially varying weight function. Dynamic programming scheme proposed for the segmentation of epicardium considers the myocardium probability map and a distance weighted edge map in the cost matrix. Radial distance weighted technique and conical geometry are employed for segmenting the basal slices with left ventricle outflow tract (LVOT) and most apical slices. The proposed method is validated on a public dataset comprising 45 subjects from medical image computing and computer assisted interventions (MICCAI) 2009 segmentation challenge. The average percentage of good endocardial and epicardial contours detected is about 99%, average perpendicular distance of the detected good contours from the manual reference contours is 1.95 |
关键词 | Cardiovascular magnetic resonance left ventricle endocardium epicardium myocardium segmentation active contour dynamic programming. |
DOI | 10.1007/s11633-018-1112-4 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/42443 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.School of Electronics Engineering, Vellore Institute of Technology (VIT) University, Vellore 632014, Tamil Nadu, India 2.Department of Radiology, Sri Ramachandra University, Chennai 600116, Tamil Nadu, India |
推荐引用方式 GB/T 7714 | G. Dharanibai,Anupama Chandrasekharan,Zachariah C. Alex. Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming[J]. International Journal of Automation and Computing,2018,15(6):673-688. |
APA | G. Dharanibai,Anupama Chandrasekharan,&Zachariah C. Alex.(2018).Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming.International Journal of Automation and Computing,15(6),673-688. |
MLA | G. Dharanibai,et al."Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming".International Journal of Automation and Computing 15.6(2018):673-688. |
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IJAC-2017-06-144.pdf(4844KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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