Coronary plaque boundary calculation in IVUS image by modified PMD filter and fuzzy inference

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Syaiful Anam, Eiji Uchino, Noriaki Suetake

2013 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8228 LNCS Issue PART 3 Conference paper Cited by 1

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. © Springer-Verlag 2013.

Affiliations

Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi 753-8512, 1677-1 Yoshida, Japan; Mathematics Department, University of Brawijaya, Malang 65145, Veteran St., Indonesia; Fuzzy Logic Systems Institute, Iizuka, Fukuoka 820-0067, 680-41 Kawazu, Japan