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Segmentation of Calcified Plaques in Intravascular Ultrasound Images

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Smart Computing Paradigms: New Progresses and Challenges

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 766))

Abstract

Intravascular ultrasound (IVUS) imaging is mostly used in the diagnosis and treatment of coronary artery diseases, especially in atherosclerosis, because it becomes very difficult to identify in the calcified regions manually. The IVUS images allow to visualize the inner portion of the coronary artery with enhanced resolution and also to acquire the cross-sectional images of arteries. Therefore, this paper presents a computational framework to identify the calcified region in IVUS images. In this paper, spatial fuzzy C-means approach is used to extract the exact boundary of the calcified plaque region in the IVUS images along with the wavelet transform decomposition. This clustering approach is capable of incorporating additional spatial information obtained from the neighboring pixels and also overcoming the limitations of noise and artifacts in IVUS coronary images. Several experiments have been performed on the different IVUS data and their experimental results are analyzed in terms of both quantitative and qualitative manner. The results revealed that the spatial fuzzy C-means provides better segmentation accuracy by extracting the calcified region as compared with other approaches.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, 440010, India

    Tara Chand Ulli & Deep Gupta

Authors
  1. Tara Chand Ulli
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  2. Deep Gupta
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Corresponding author

Correspondence to Tara Chand Ulli .

Editor information

Editors and Affiliations

  1. Engineering Faculty, Aksaray University, Sağlık, Aksaray, Turkey

    Atilla Elçi

  2. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  3. National Institute of Technology, Goa, India

    Chirag N. Modi

  4. CICESE, Ensenada, Baja California, Mexico

    Gustavo Olague

  5. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Manmath N. Sahoo

  6. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

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Ulli, T.C., Gupta, D. (2020). Segmentation of Calcified Plaques in Intravascular Ultrasound Images. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. Springer, Singapore. https://doi.org/10.1007/978-981-13-9683-0_7

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