Share Email Print
cover

Proceedings Paper

Classification of normal and infarcted myocardium based on statistical analysis of high-frequency intracardiac ultrasound rf signal
Author(s): Xiaohui Hao; Charles Bruce; Cristina Pislaru; James F. Greenleaf
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 11 April 2002
PDF: 8 pages
Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462147
Show Author Affiliations
Xiaohui Hao, Mayo Clinic and Foundation (United States)
Charles Bruce, Mayo Clinic and Foundation (United States)
Cristina Pislaru, Mayo Clinic and Foundation (United States)
James F. Greenleaf, Mayo Clinic and Foundation (United States)


Published in SPIE Proceedings Vol. 4687:
Medical Imaging 2002: Ultrasonic Imaging and Signal Processing
Michael F. Insana; William F. Walker, Editor(s)

© SPIE. Terms of Use
Back to Top