Tissue Characterization of Coronary Plaque Using Sparse Coding and Neighboring Features

DOI
  • Furukawa Shota
    Graduate School of Science and Engineering, Yamaguchi University
  • Azetsu Tadahiro
    Yamaguchi Prefectural University
  • Suetake Noriaki
    Graduate School of Science and Engineering, Yamaguchi University
  • Uchino Eiji
    Graduate School of Science and Engineering, Yamaguchi University Fuzzy Logic Systems Institute

Bibliographic Information

Other Title
  • スパースコーディングと近傍特徴量を用いた冠動脈血管内プラークの組織性状判別

Description

The major cause of acute coronary syndrome (ACS) is a blood clot generated by a rupture of unstable plaque in the coronary artery. Therefore, in a diagnosis of the ACS, it becomes very important to accurately distinguish the stable plaque and the unstable one. Several methods to classify the tissue of the coronary plaque have been proposed so far. They are not always useful however due to the performance limitations of the features selected by each method. In this study, we propose a new method to apply a sparse coding to the tissue characterization for improving its accuracy. The effectiveness of the proposed method has been verified by comparing the characterization results by the proposed method with those by the conventional methods for the real intravascular ultrasound data obtained from the human coronary arteries.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390001205671926912
  • NII Article ID
    130005480501
  • DOI
    10.14864/fss.29.0_82
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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