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Two new stenosis detection methods of coronary angiograms

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Coronary angiography is the “gold standard” for diagnosing coronary artery disease. At present, the methods for detecting and evaluating coronary artery stenosis cannot satisfy the clinical needs, e.g., there is no prior study of detecting stenoses in prespecified vessel segments, which is necessary in clinical practice.

Methods

Two vascular stenosis detection methods are proposed to assist the diagnosis. The first one is an automatic method, which can automatically extract the entire coronary artery tree and mark all the possible stenoses. The second one is an interactive method. With this method, the user can choose any vessel segment to do further analysis of its stenoses.

Results

Experiments show that the proposed methods are robust for angiograms with various vessel structures. The precision, sensitivity, and \(F_1\) score of the automatic stenosis detection method are 0.821, 0.757, and 0.788, respectively. Further investigation proves that the interactive method can provide a more precise outcome of stenosis detection, and our quantitative analysis is closer to reality.

Conclusion

The proposed automatic method and interactive method are effective and can complement each other in clinical practice. The first method can be used for preliminary screening, and the second method can be used for further quantitative analysis. We believe the proposed solution is more suitable for the clinical diagnosis of CAD.

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Data Availibility Statement

The used data are available upon request from Qing Zhang.

Code Availability Statement

Private code repository.

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Funding

Yaofang Liu, Xinyue Zhang, Wenlong Wan, Shaoyu Liu, Yingdi Liu, Hu Liu, and Xueying Zeng were supported by the National Natural Science Foundation of China [Nos. 11771408, 11871444] and the Fundamental Research Funds for the Central Universities [No. 201964006]. Qing Zhang was supported by the National Natural Science Foundation of China [No. 81671703], the Key Fund of Department of Cardiology, Shandong University Qilu Hospital (Qingdao) [QDKY2019ZD04], the Key Research and Development Project of Shandong Province [No. 2015GSF118026], the Qingdao Key Health Discipline Development Fund, and People’s Livelihood Science and Technology Project of Qingdao [No. 18-6-1-62-nsh].

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Authors and Affiliations

  1. School of Mathematical Sciences, Ocean University of China, Qingdao, Shandong, China

    Yaofang Liu, Xinyue Zhang, Yingdi Liu & Xueying Zeng

  2. School of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China

    Wenlong Wan & Shaoyu Liu

  3. School of Material Science and Engineering, Ocean University of China, Qingdao, Shandong, China

    Hu Liu

  4. Department of Cardiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, China

    Qing Zhang

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  1. Yaofang Liu
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  6. Hu Liu
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Yaofang Liu, Xinyue Zhang, and Wenlong Wan contributed equally.

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Cite this article

Liu, Y., Zhang, X., Wan, W. et al. Two new stenosis detection methods of coronary angiograms. Int J CARS 17, 521–530 (2022). https://doi.org/10.1007/s11548-021-02551-6

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  • DOI: https://doi.org/10.1007/s11548-021-02551-6

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