Myocardial tissue characterization by autocorrelation of two-dimensional ultrasonic backscatter

J Am Soc Echocardiogr. 1994 Nov-Dec;7(6):631-40. doi: 10.1016/s0894-7317(14)80086-2.

Abstract

To evaluate a novel method for determining the spatial distribution of echocardiographic information based on the two-dimensional autocorrelation function, echocardiographic images were obtained from specific regions of interest from 10 healthy volunteers, seven patients with genetically defined hypertrophic cardiomyopathy, and nine patients with pressure-overload hypertrophy. The wavelength of distinct peaks from the two-dimensional autocorrelation of the images was compared between groups of patients and demonstrated a significant decrease in the mean length scale associated with distinct secondary correlation peaks in patients with hypertrophic cardiomyopathy or pressure-overload hypertrophy compared with healthy volunteers (p = 0.0009). With a discriminating wavelength of 3.3 mm, the sensitivity of this technique for detecting abnormal myocardium was 84% with a specificity of 89%. This study suggests that ultrasonic tissue characterization based on the two-dimensional autocorrelation function may have potential for distinguishing normal from abnormal myocardium and provides a rationale for textural approaches to ultrasonic tissue characterization.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Cardiomyopathy, Hypertrophic / diagnostic imaging*
  • Cardiomyopathy, Hypertrophic / genetics
  • Echocardiography*
  • Fourier Analysis
  • Humans
  • Hypertrophy, Left Ventricular / diagnostic imaging*
  • Image Processing, Computer-Assisted
  • Mutation
  • Myosins / genetics
  • ROC Curve
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted
  • Videotape Recording

Substances

  • Myosins