Adaptive Dynamic Range Compression Algorithm for Echocardiographic Imaging.

Abstract

Echocardiography is used routinely in cardiology. The typical dynamic range encountered spans about 90 dB. The objective of this research is to devise a means to compress this wide dynamic range to a narrower dynamic range for grey scale display or for digital data storage. An adaptive dynamic range algorithm to maximize the information content of the echo signal is developed and tested experimentally and also using simulations. An echo signal model is developed to formulate the dynamic range compression algorithm and to facilitate the evaluation of dynamic range compression algorithms with simulated data. The echocardiographic signal is modeled as a nonstationary stochastic process consisting of specular and scatterer components. The separation of scatterer components from blood volume is important in establishing a significance signal level. A lower bound on this significance level based on acoustic wave divergence is suggested. The significant echo signal of specular and scatterer components possess wide dynamic range throughout the scanning volume due to their nonstationarity. Based on this model, a general adaptive dynamic range compression algorithm is developed.

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Document Details

Document Type
Technical Report
Publication Date
May 24, 1979
Accession Number
ADA080982

Entities

People

  • Edward Hung Tat Lam

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Automatic Gain Control
  • Cardiography
  • Control Systems
  • Data Processing
  • Detection
  • Doppler Effect
  • Geometry
  • Health Services
  • Heart
  • Heart Valves
  • Image Processing
  • Information Theory
  • Medical Personnel
  • Ultrasounds
  • Waveform Generators
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.