Breast Cancer Screening Using Photonic Technology

Abstract

The research performed during the current reporting period included: (a) time-sliced and spectroscopic two-dimensional (2-D) near-infrared transillumination imaging of normal and cancerous in vitro human breast tissue specimens; (b) derivation of analytical solutions of the Boltzmann radiative transport equation; and (c) development of theoretical formalism and computer algorithm for three-dimensional (3-D) inverse image reconstruction method using back-propagating light. Images recorded with earlier temporal slices of transmitted light were found to highlight cancerous tissues while those recorded with later slices accentuated normal fibrous tissues. Initial spectroscopic imaging experiments show that the ratio, R of light intensity transmitted through the cancerous tissue to that through the corresponding normal tissue show a wavelength dependent variation that has the potential to be used as a useful parameter for cancer identification. The analytical solutions of the Boltzmann transport equation enable a more accurate description of the ballistic and snake components of light emerging from a highly-scattering medium than that afforded by the diffusion approximation. Inverse image reconstruction scheme using simulated backscattered light provides fast, noise-resistant 3-D images of objects at various depths up to 2 cm in a tissue- like scattering medium.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2000
Accession Number
ADA390088

Entities

People

  • Robert Alfano

Organizations

  • City University of New York

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Boltzmann Equation
  • Breast Cancer
  • Cancer Screening
  • Carcinoma
  • Detection
  • Detectors
  • Diffusion Coefficient
  • Equations
  • Geometry
  • Image Reconstruction
  • Light Sources
  • Light Transmission
  • Neoplasms
  • Optical Properties
  • Scattering
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Medical Imaging.
  • Wave Propagation and Nonlinear Chaotic Dynamics.