30A-C-6 Similarity-Based Method for Tissue Characterization of Coronary Artery Plaque(General Session in English)
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概要
- 論文の詳細を見る
Tissue characterization of coronary artery plaque plays an important role in diagnosing the acute coronary artery syndrome. This paper presents a similarity-based method for tissue characterization, combined with a moving window computational strategy. At every computation step the dissimilarity degree between two representative models is calculated and estimated. Two types of representative models are presented and discussed in the paper, namely the Histogram-based models that do not need learning and Key Point-based models that need unsupervised learning. This leads to two different tissue characterization methods that are explained and analysed in details in the paper. Simulations results by using data from two cross-sections of a coronary artery show that the Key Point model-based method achieves slightly better tissue characterization.
- 2011-10-29
著者
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Uchino Eiji
Graduate School Of Science And Engineering Yamaguchi University
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Uchino Eiji
Graduate School Of Science And Engineering Yamaguchi University:fuzzy Logic Systems Institute
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VACHKOV Gancho
Graduate School of Science and Engineering, Yamaguchi University
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Vachkov Gancho
Graduate School Of Science And Engineering Yamaguchi University
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