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Moving window-based similarity analysis and its application to tissue characterization of coronary arteries

Vatchkov, Gantcho L. and Uchino, E. and Nakao, Satoshi (2012) Moving window-based similarity analysis and its application to tissue characterization of coronary arteries. [Conference Proceedings]

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    Abstract

    This paper is dealing with the problem of tissue characterization of the plaque in the coronary arteries by processing the data from the intravascular ultrasound catheter. Two similarity-based methods are proposed in the paper, namely the histogram-based and the center-of-gravity-based method. Both of them use the general computational strategy of the moving window with fixed size and maximal overlapping ratio. The obtained similarity results are graphically displayed in two modes: hard decision with a given threshold and soft decision with gradual changes in the dissimilarity values. Simulation results from the tissue characterization of two real data sets - training and test data set, are shown and discussed in the paper with suggestions for further improvement of the method.

    Item Type: Conference Proceedings
    Additional Information: moving window, similarity analysis, tissue characterization, normalized histogram, intravascular ultrasound
    Subjects: R Medicine > R Medicine (General)
    R Medicine > RB Pathology
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Gancho Vatchkov
    Date Deposited: 02 May 2013 09:05
    Last Modified: 16 Jan 2017 15:00
    URI: http://repository.usp.ac.fj/id/eprint/5746
    UNSPECIFIED

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