Classification of normal and infarcted myocardium based on statistical analysis of high-frequency intracardiac ultrasound rf signal

Xiaohui Hao; Charles Bruce; Cristina Pislaru; James F. Greenleaf

doi:10.1117/12.462147

11 April 2002 Classification of normal and infarcted myocardium based on statistical analysis of high-frequency intracardiac ultrasound rf signal

Xiaohui Hao, Charles Bruce, Cristina Pislaru, James F. Greenleaf

Author Affiliations +

Proceedings Volume 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing; (2002) https://doi.org/10.1117/12.462147
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

Myocardial structural changes caused by infarction / reperfusion may result in increased scatterer density and variation of scatterer arrangement in ultrasound imaging. Homodyned K (HD_K) distribution is employed in this paper to model the backscattered signal from both normal and reperfused infarcted myocardium and is used to characterize them. Statistical testing showed that among the Rayleigh, K, Nakagami and Homodyned K distributions, the Homodyned K distribution is the best model to describe ultrasound signal backscattered from both normal and infarcted reperfused myocardium. Using HD_K distribution, in vivo demodulated RF data (8.5MHz) from anterior myocardial wall, as imaged from both left and right ventricle at baseline and after infarction/reperfusion, were analyzed. Significant increase of scatterer density in reperfused infarcted myocardium has been found compared to the normal myocardium. We concluded that HD_K distribution has potential to distinguish reperfused infarcted myocardium from normal using high frequency ultrasound imaging, irrespective of LV or RV data acquisition.

Citation Download Citation

Xiaohui Hao, Charles Bruce, Cristina Pislaru, and James F. Greenleaf "Classification of normal and infarcted myocardium based on statistical analysis of high-frequency intracardiac ultrasound rf signal", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); https://doi.org/10.1117/12.462147

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