Development of Methods for Improved Breast Imaging Using Ultrasound.

Abstract

A novel framework was introduced for the deconvolution of B-scan images. A model for the rf image was developed first, and then imaging distortions were reconstructed using higher-order statistics of the measured image lines. Based on the estimated distortions deconvolution of the corresponding image was performed, which for the case of images of tissue mimicking phantom as well as human tissue images, led to significant resolution improvement. In the past, estimation of distortions has been carried out using exclusively second order statistics (autocorrelation). Autocorrelation, however, can recover only the minimum phase equivalent of the true distortions, because it is blind to phase. Imaging distortions were also estimates using second order statistics of the image lines. It was demonstrated that although these estimates did lead to resolution improvement, the amount of improvement was far less significant than the one obtained with the higher-order statistics based estimates.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 26, 1995
Accession Number
ADA299280

Entities

People

  • Athina P. Petropulu
  • John M. Reid

Organizations

  • Drexel University

Tags

DTIC Thesaurus Topics

  • Autocorrelation
  • Biomedical Engineering
  • Computers
  • Correlation Techniques
  • Data Science
  • Distortion
  • Engineering
  • Frequency
  • Information Processing
  • Information Science
  • Measurement
  • Order Statistics
  • Signal Processing
  • Statistics
  • Three Dimensional
  • Two Dimensional
  • Ultrasounds

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Medical Imaging.