[1]刘昊,王瑜,王怡宁,等.冠状动脉血管造影图像三维分割方法[J].中国医学物理学杂志,2021,38(7):826-830.[doi:DOI:10.3969/j.issn.1005-202X.2021.07.007]
　LIU Hao,WANG Yu,WANG Yining,et al.Three-dimensional segmentation method for coronary angiographic image[J].Chinese Journal of Medical Physics,2021,38(7):826-830.[doi:DOI:10.3969/j.issn.1005-202X.2021.07.007]
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冠状动脉血管造影图像三维分割方法()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第7期
页码:
826-830
栏目:
医学影像物理
出版日期:
2021-07-26

文章信息/Info

Title:
Three-dimensional segmentation method for coronary angiographic image
文章编号:
1005-202X（2021）07-0826-05
作者:
刘昊1; 王瑜1; 王怡宁2; 徐橙2
1.北京工商大学人工智能学院， 北京 100048； 2.中国医学科学院北京协和医院， 北京 100730
Author(s):
LIU Hao1;  WANG Yu1;  WANG Yining2;  XU Cheng2
1. School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China 2. Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
关键词:
冠状动脉; 血管造影; 三维分割; 分水岭算法; 区域生长算法
Keywords:
Keywords: coronary artery angiography three-dimensional segmentation watershed algorithm regional growth method
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2021.07.007
文献标志码:
A
摘要:
冠状动脉计算机断层扫描血管造影技术已广泛应用于心血管疾病的诊断，冠状动脉的有效分割在冠心病诊断中起着重要的作用。本文提出一种冠状动脉血管造影图像三维分割方法，首先进行数据预处理；然后，利用分水岭算法得到子区域；最后，利用区域生长方法将分水岭子区域合并，实现冠状动脉的三维分割。本文以放射科医生手动标注结果作为标准，验证提出算法的可行性和有效性。实验结果表明，本文提出的分割方法能够有效克服冠状动脉周围组织的干扰，从而取得精确的分割结果。
Abstract:
Abstract: At present, coronary computed tomography angiography has been widely used in the diagnosis of cardiovascular diseases, and the effective segmentation of coronary arteries plays an important role in the diagnosis of coronary heart diseases. Herein a three-dimensional segmentation method for coronary angiographic images is proposed. After data preprocessing, watershed algorithm is used to obtain sub-regions, and regional growth method is used to merge the sub-regions for realizing three-dimensional segmentation of coronary arteries. The manual segmentation results obtained by radiologists are used as the standard to verify the feasibility and effectiveness of the proposed algorithm. The experimental results show that the proposed segmentation method can effectively overcome the interference from the tissues around the coronary arteries and obtain accurate segmentation results.

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备注/Memo

备注/Memo:
【收稿日期】2021-02-15 【基金项目】北京市自然科学基金-北京市教育委员会科技计划重点联合项目（KZ202110011015） 【作者简介】刘昊，硕士研究生，研究方向：图像处理、模式识别，E-mail: 1245737147@qq.com 【通信作者】王瑜，博士后，教授，博士生导师，CCF会员，研究方向：图像处理、模式识别，E-mail: wangyu@btbu.edu.cn
更新日期/Last Update: 2021-07-26