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Proceedings Paper

Application of frequency-domain quantitative analysis in the diagnosis of cardiac diseases
Author(s): Ying Sun; Xinliang Li; Mengyang Liao; Zhang Dong; Xinfang Wang; Jia-en Wang; Mingxing Xie
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Paper Abstract

Cardiac B-mode ultrasonic tissue characterization is designed to use the fluctuations in acoustic signals from the myocardium to differentiate normal from morbid tissues due to their characteristic texture attenuation. In our paper, we suggest a new way that is based on frequency-domain texture analysis to quantify tissue characterization. The results of our experiments indicate that three of the power spectrum features PSE, PSM and LT can describe the characterization of myocardiac tissue very well either in normal or in diseased condition. We select these three features together with another feature PSER derived by combining two PSE values to construct a multilayered neural network based on BP algorithm which acts as a classifier to diagnose automatically input image samples of various diseases after being trained with known samples. The performance of the classifier is very satisfactory. In short, our system opens a new way for the quantitative diagnostic detection of diverse diseases including coronary heart disease myocardial infarction (CHD-MI) and dilated cardiomyopathy (DC).

Paper Details

Date Published: 12 May 1995
PDF: 9 pages
Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); doi: 10.1117/12.208679
Show Author Affiliations
Ying Sun, McMaster Univ. (Canada)
Xinliang Li, Wuhan Univ. (China)
Mengyang Liao, Wuhan Univ. (China)
Zhang Dong, Wuhan Univ. (China)
Xinfang Wang, Wuhan Tongji Medical Univ. (China)
Jia-en Wang, Wuhan Tongji Medical Univ. (China)
Mingxing Xie, Wuhan Tongji Medical Univ. (China)


Published in SPIE Proceedings Vol. 2434:
Medical Imaging 1995: Image Processing
Murray H. Loew, Editor(s)

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