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A State-Of-The-Art Review on Coronary Artery Border Segmentation Algorithms for Intravascular Ultrasound (IVUS) Images

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Abstract

Intravascular Ultrasound images (IVUS) is a useful guide for medical practitioners to identify the vascular status of coronary arteries in human beings. IVUS is a unique intracoronary imaging modality that is used as an adjunct to angioplasty to view vessel structures using a catheter with high resolutions. Segmentation of IVUS images has always remained a challenging task due to various impediments, for example, similar tissue components, vessel structures, and artifacts imposed during the acquisition process. Many researchers have applied various techniques to develop standard methods of image interpretation, however, the ultimate goal is still elusive to most researchers. This challenge was presented at the MICCAI- Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop in 2011. This paper presents a major review of recently reported work in the field, with a detailed analysis of various segmentation techniques applied in IVUS, and highlights the directions for future research. The findings recommend a reference database with a larger number of samples acquired at varied transducer frequencies with special consideration towards complex lesions, suitable validation metrics, and ground-truth definition as a standard against which to compare new and current algorithms.

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Acknowledgements

The authors would like to acknowledge Guru Nanak Dev Engineering College, Ludhiana, Punjab (India) and IKG Punjab Technical University, Kapurthala, Punjab (India) for their support in this research work.

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Authors and Affiliations

  1. Research Scholar, IKG Punjab Technical University, Punjab, India

    Priyanka Arora

  2. Department of Computer Science and Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

    Priyanka Arora & Parminder Singh

  3. Department of Information Technology, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

    Akshay Girdhar

  4. Department of Cardiology, Advanced Cardiac Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India

    Rajesh Vijayvergiya

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Appendix I

Appendix I

Table A1 Existing IVUS Segmentation Algorithms along with their specifications
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Table A2 IVUS catheters from the top 5 manufacturers
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Arora, P., Singh, P., Girdhar, A. et al. A State-Of-The-Art Review on Coronary Artery Border Segmentation Algorithms for Intravascular Ultrasound (IVUS) Images. Cardiovasc Eng Tech 14, 264–295 (2023). https://doi.org/10.1007/s13239-023-00654-6

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