Acoustic Inverse Scattering for Breast Cancer Microcalcification Detection

Abstract

An advanced scalar inverse scattering theory developed by Colton, Kirsch, and others in the inverse scattering community can determine the shape of scatterers with size on the order of the wavelength. In addition to size and number, the morphology of breast microcalcifications is an important diagnostic indicator. Our hypothesis is that the linear sampling method (LS), when augmented with a method for estimating the inhomogeneous Green's function for wave propagation in the breast, can be translated to an acoustic imaging system to detect, localize, and characterize microcalcifications in breast phantoms using data from the far-field scattering measurements. Progress continues on developing an appropriate estimator of the background Green's function from scattering data, and a phantom with hard, extended scatterers has been developed for proof-of-concept. Data acquisition and analysis is on-going, with one peer-reviewed conference proceedings paper in past year.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA513287

Entities

People

  • Matthew A. Lewis

Organizations

  • University of Texas at Dallas

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Waves
  • Acquisition
  • Algorithms
  • Computational Science
  • Data Acquisition
  • Detectors
  • Diagnostic Imaging
  • Diffraction
  • Inverse Scattering
  • Mathematics
  • Photoacoustic Tomography
  • Scattering
  • Three Dimensional
  • Tomography
  • Two Dimensional
  • Ultrasounds
  • X-Ray Computed Tomography

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Oncology and Biomarker-Based Cancer Detection.