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 (auto correlation). 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.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1996
Accession Number
ADA318584

Entities

People

  • John M. Reid

Organizations

  • Drexel University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Cancer
  • Computational Science
  • Correlation Techniques
  • Data Science
  • Distortion
  • Electrical Engineering
  • Health Services
  • Information Processing
  • Information Science
  • Knowledge Management
  • Medical Personnel
  • Order Statistics
  • Signal Processing
  • Statistical Algorithms
  • Statistics
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Medical Imaging.
  • Regression Analysis.