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.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 24, 1979
- Accession Number
- ADA080982
Entities
People
- Edward Hung Tat Lam
Organizations
- Pennsylvania State University