Tissue characterization of coronary plaque by kNN classifier with fractal-based features of IVUS RF-signal

We propose a tissue characterization method for coronary plaques by using fractal analysis-based features. Those features are obtained from radiofrequency (RF) signals measured by the intravascular ultrasound (IVUS) method. The IVUS method is used for the diagnosis of the acute coronary syndrome. In...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2014-10, Vol.25 (5), p.973-982
Main Authors: Uchino, Eiji, Koga, Takanori, Misawa, Hideaki, Suetake, Noriaki
Format: Article
Language:English
Subjects:
Acute coronary syndromes
Algorithms
Analysis
Business and Management
Catheters
Classification
Classifiers
Control
Coronary vessels
Discriminant analysis
Fractal analysis
Fractals
Human
Lipids
Machines
Manufacturing
Mechatronics
Processes
Production
Rabbits
Radio frequency
Radiofrequency
Robotics
Studies
Tissues
Ultrasonic imaging
Ultrasonic testing
Ultrasound
Veins & arteries
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Summary:We propose a tissue characterization method for coronary plaques by using fractal analysis-based features. Those features are obtained from radiofrequency (RF) signals measured by the intravascular ultrasound (IVUS) method. The IVUS method is used for the diagnosis of the acute coronary syndrome. In the proposed method, the fact that the complexity of the tissue structures is reflected in the RF signals is used. The effectiveness of the proposed method is verified through some experiments by using IVUS RF signals obtained from rabbits and human patients.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-013-0793-3