形态学和分水岭联合分割冠状动脉血管造影

K. Sun, Shaofeng Jiang, Yu Wang
{"title":"形态学和分水岭联合分割冠状动脉血管造影","authors":"K. Sun, Shaofeng Jiang, Yu Wang","doi":"10.1109/BMEI.2009.5305216","DOIUrl":null,"url":null,"abstract":"In this paper, a scheme using fuzzy mathematical morphology operations is proposed for extracting coronary ar- teries tree on angiogram. After the enhancement of image with the traditional morphological top-hat operator, the vessel image is filtered with the fuzzy morphological opening with a set of linear structuring elements at different orientation. At the same time, the enhanced image is also filtered with the dual of fuzzy opening with the same structuring elements set. The two filtered vessel image is then combined into a new image considering the local orientation consistency, detected by the morphological filter, within a linear neighborhood of each location. Threshold of the result image produces the binary vessel structure which is separate from background structure. The extracted vessel structure is lastly treated as prior of shape and location of vessel and used as marker in morphological watershed for detecting the accurate vessel boundaries. Experimentation shows the performance of proposed method on extraction vascular tree on clinical angiogram under x-ray. I. INTRODUCTION","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Segmentation of Coronary Artery on Angiogram by Combined Morphological Operations and Watershed\",\"authors\":\"K. Sun, Shaofeng Jiang, Yu Wang\",\"doi\":\"10.1109/BMEI.2009.5305216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a scheme using fuzzy mathematical morphology operations is proposed for extracting coronary ar- teries tree on angiogram. After the enhancement of image with the traditional morphological top-hat operator, the vessel image is filtered with the fuzzy morphological opening with a set of linear structuring elements at different orientation. At the same time, the enhanced image is also filtered with the dual of fuzzy opening with the same structuring elements set. The two filtered vessel image is then combined into a new image considering the local orientation consistency, detected by the morphological filter, within a linear neighborhood of each location. Threshold of the result image produces the binary vessel structure which is separate from background structure. The extracted vessel structure is lastly treated as prior of shape and location of vessel and used as marker in morphological watershed for detecting the accurate vessel boundaries. Experimentation shows the performance of proposed method on extraction vascular tree on clinical angiogram under x-ray. I. INTRODUCTION\",\"PeriodicalId\":6389,\"journal\":{\"name\":\"2009 2nd International Conference on Biomedical Engineering and Informatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd International Conference on Biomedical Engineering and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2009.5305216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2009.5305216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

提出了一种基于模糊数学形态学的冠状动脉树提取方法。在传统形态学顶帽算子增强图像后,用一组不同方向的线性结构元素的模糊形态学开口对血管图像进行滤波。同时,对增强后的图像进行了具有相同结构元素集的模糊开对偶滤波。然后,在每个位置的线性邻域内,考虑形态学滤波器检测到的局部方向一致性,将两个过滤后的血管图像合并成一个新的图像。结果图像的阈值产生与背景结构分离的二值化血管结构。最后将提取的血管结构作为血管形状和位置的先验,作为形态分水岭的标记,用于检测准确的血管边界。实验证明了该方法在临床x线血管造影中提取血管树的效果。我的介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Segmentation of Coronary Artery on Angiogram by Combined Morphological Operations and Watershed
In this paper, a scheme using fuzzy mathematical morphology operations is proposed for extracting coronary ar- teries tree on angiogram. After the enhancement of image with the traditional morphological top-hat operator, the vessel image is filtered with the fuzzy morphological opening with a set of linear structuring elements at different orientation. At the same time, the enhanced image is also filtered with the dual of fuzzy opening with the same structuring elements set. The two filtered vessel image is then combined into a new image considering the local orientation consistency, detected by the morphological filter, within a linear neighborhood of each location. Threshold of the result image produces the binary vessel structure which is separate from background structure. The extracted vessel structure is lastly treated as prior of shape and location of vessel and used as marker in morphological watershed for detecting the accurate vessel boundaries. Experimentation shows the performance of proposed method on extraction vascular tree on clinical angiogram under x-ray. I. INTRODUCTION
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Novel Approach for Blood Vessel Edge Detection in Retinal Images Skin Response During Irradiation by Intense Pulsed Light Based on Optical Imaging Technology and Histology Physical Properties of LYSO Scintillator for NN-PET Detectors A High Security Framework for SMS An Efficient Antenna Selection Algorithm for MIMO Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1