Quantitative Three-Dimensional Ultrasonic Mammography

Abstract

An investigation of three-dimensional ultrasonic mammography has been completed. Three-dimensional quantitative ultrasonic imaging of breast tissue is now possible using novel inverse scattering methods invented by the Principal Investigator and coworkers. Use of full time-domain scattering information provides images with high point resolution, contrast resolution, and quantitative accuracy without significant artifacts. Nonlinear forms of these methods provide a robust approach to adaptive imaging that is based on compensation for scattering from actual tissue structure. Realistic tissue models for simulation of ultrasound-breast interaction have been developed using specimen cross sections as well as available high-resolution volume photographic data. Calculated scattering from these tissue models provides accurate characterization of ultrasonic propagation within breast tissue and realistic data for quantitative imaging algorithms. Quantitative two- and three-dimensional images, reconstructed from simulated and measured scattering data, show the usefulness of these methods for practical ultrasonic mammography. The results of this research program will make possible new mammographic applications of ultrasound that will provide clinicians with previously unavailable information and detail. These applications are expected to comprise a lower-cost, more effective, and safer modality for diagnosis, detection, and monitoring of breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2001
Accession Number
ADA405347

Entities

People

  • T. D. Mast

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Properties
  • Acoustic Waves
  • Acoustics
  • Computational Fluid Dynamics
  • Computational Science
  • Diagnostic Imaging
  • Diffraction
  • Doppler Effect
  • Finite Difference Time Domain
  • Health Services
  • Information Processing
  • Medical Personnel
  • Three Dimensional
  • Tomography
  • Two Dimensional
  • Ultrasounds
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.