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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationNeural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
Pages509-516
Number of pages8
EditionPART 3
DOIs
Publication statusPublished - 2013
Event20th International Conference on Neural Information Processing, ICONIP 2013 - Daegu, Korea, Republic of
Duration: 3 Nov 20137 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8228 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Neural Information Processing, ICONIP 2013
Country/TerritoryKorea, Republic of
CityDaegu
Period3/11/137/11/13

Keywords

  • Coronary plaque boundary calculation
  • IVUS image
  • Modified PMD filter
  • T-S fuzzy model

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