JACIII Vol.21 No.1 pp. 67-73
doi: 10.20965/jaciii.2017.p0067


IVUS Tissue Characterization of Coronary Plaque by Classification Restricted Boltzmann Machine

Nguyen Trong Kuong*, Eiji Uchino*,**, and Noriaki Suetake*

*Graduate School of Science and Engineering, Yamaguchi University
1677-1 Yoshida, Yamaguchi 753-8512, Japan

**Fuzzy Logic Systems Institute
680-41 Kawazu, Iizuka, Fukuoka 820-0067, Japan

March 8, 2016
November 7, 2016
January 20, 2017
atherosclerotic coronary plaque, radio frequency signal, intravascular ultrasound, classification restricted Boltzmann machine
The tissue characterization of coronary plaque is an important task to assess the atherosclerotic process and the potential risks of their ruptures on patient. Thanks to intravascular ultrasound (IVUS) medical imaging technique, the reflected ultrasound signals from tissues are acquired, then be used to visualize inside the artery by the computer-assisted equipment. Often, the characterization of tissues is based on the analysis of their responding echo intensity. However, the domination of various factors and the data robustness are the realistic challenges of IVUS classification problems. The quality of the visualization totally depends on the proposed classifier of descriptive features along with its algorithm. In this study, our objective is to characterize IVUS tissues by using classification restricted Boltzmann machine (ClassRBM). We propose to binarize feature patterns extracted from time domain signals for the input of ClassRBM. The results show a better evaluation compared to the conventional integrated backscatter IVUS method (IB-IVUS) for the same task.
Cite this article as:
N. Kuong, E. Uchino, and N. Suetake, “IVUS Tissue Characterization of Coronary Plaque by Classification Restricted Boltzmann Machine,” J. Adv. Comput. Intell. Intell. Inform., Vol.21 No.1, pp. 67-73, 2017.
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