A Study of Ultrasonic Wavefront Distortion Compensation.

Abstract

The objective of this research is to develop ultrasonic wavefront distortion compensation methods to improve ultrasound resolution in the detection and classification of small breast lesions. A novel ultrasonic wavefront compensation technique which we call Toward Inverse Filtering (TIF) has been experimentally demonstrated last year and further analyzed since then. The well Known Inverse Filtering technique is optimal for imaging fidelity but unstable. TIF approaches the performance of Inverse Filtering while demonstrates adequate stability. Experiments with breast specimens have shown that TIF represents a substantial improvement over other compensation algorithms, offering the potential for better visualization of small breast lesions. Last year, our major effects have been devoted to the understanding of TIF and further experimentation with TIF. First, the relationship of TIF with Inverse Filtering has been established, and comparisons of TIF with other compensation algorithms have been made. Second, further experimentation with TIF is in progress. In addition to TIF, another novel compensation approach which we call modified CLEAN algorithm (MCLEAN), although it has limitations in its application to breast imaging, has also been exploited. MCLEAN has shown to improve image quality by canceling coherent multipath image artifacts. The strengths and limitations of MCLEAN have been investigated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1996
Accession Number
ADA321817

Entities

People

  • Qing Zhu

Organizations

  • University of Pennsylvania

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Diffraction
  • Distortion
  • Dynamic Range
  • Electrical Engineering
  • False Targets
  • Filtration
  • Geometry
  • Incoherent Scattering
  • Information Science
  • Measurement
  • Phase Distortion
  • Scattering
  • Three Dimensional
  • Two Dimensional
  • Waves

Readers

  • Image Processing and Computer Vision.
  • Neurological Diseases/Conditions/Disorders
  • Systems Analysis and Design