Three Dimensional Reconstruction Algorithm for Imaging Pathophysiological Signals Within Breast Tissue Using Near Infrared Light

Abstract

Near Infrared (NIR) tomography is an imaging technique that aims to image optical properties of biological tissue. This technique has been used to image and characterize breast tissue in healthy volunteers as well as detecting tumor in patients. Image reconstruction algorithms have been developed, which utilizes inherent wavelength dependant a-priori information (spectral) as well as concurrently measured MRI structural information (spatial) to show that the quantitative and qualitative accuracy is dramatically improved to provide clinically useful information. Three dimensional models have been developed that will allow the use of correct size and shape of the breast being imaged, reducing image artifacts by the use of correct assumptions about the model of the breast. Novel models have also been developed that will account for otherwise ignored Refractive Index distribution of breast tissue, and the results indicate that providing the RI distribution of breast tissue is not extremely heterogeneous, the impact on reconstructed artifacts is minimal. Finally a model that demonstrates the use of exogenous fluorescent agents for imaging has also been developed.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA459783

Entities

People

  • Hamid Dehghani

Organizations

  • Dartmouth College

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Accuracy
  • Breast Cancer
  • Computational Science
  • Detectors
  • Diagnostic Imaging
  • Elastic Properties
  • Imaging Techniques
  • Medical Personnel
  • Near Infrared Radiation
  • Optical Properties
  • Optics
  • Quantum Yields
  • Refractive Index
  • Three Dimensional
  • Tomography
  • Two Dimensional
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Medical Imaging.