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Coronary Plaque Boundary Calculation in IVUS Image by Modified PMD Filter and Fuzzy Inference

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8228))

Abstract

In this paper, we propose a method for coronary plaque boundary calculation in Intravascular Ultrasound (IVUS) image by using a modified Perona Malik Diffusion (PMD) filter and the Takagi-Sugeno (T-S) fuzzy model. The modified PMD filter is designed based on the coronary plaque boundary direction in IVUS image to reduce the speckle noise and to enhance the coronary plaque boundary. Searching areas for the plaque boundaries are automatically set by using the weighted image separability and some heuristic rules. The coronary plaque boundaries are interpolated by the polynomials inferred by the fuzzy rules. It has been confirmed that the accuracy of the proposed method is better than that of the method using the normal PMD filter.

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Anam, S., Uchino, E., Suetake, N. (2013). Coronary Plaque Boundary Calculation in IVUS Image by Modified PMD Filter and Fuzzy Inference. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_63

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  • DOI: https://doi.org/10.1007/978-3-642-42051-1_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42050-4

  • Online ISBN: 978-3-642-42051-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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