Investigation of Metastatic Breast Tumor Heterogeneity and Progression Using Dual Optical/SPECT Imaging. Addendum

Abstract

The goal of our project was to develop methods to image the processes that occur during tumor growth and metastatic spread or regression including the fate of minimal residual disease. The key to this was through the development of a dual modality imaging system capable of performing both optical and SPECT imaging in mice. To do so it is necessary to test the limits of sensitivity of newly developed techniques: our technical goal is to develop integrated light emission and single photon emission tomography. We have made substantial progress in our techniques for the detection of metastases. We have demonstrated our capability to detect millimeter or sub-millimeter metastases in mice by light emission. To this end we have used Light Emission Tomography (LET) a technique based on bioluminescence of cancer cells transfected with lucifernse to detect metastases in the lung bones and head. We have begun assessment of perfusion using fluorescence imaging. In addibon our technological focus is on the simultaneous use of Single-photon Emission Computed Tomography (SPECT) and to this end we have developed a new form of micro-SPECT based on cooled electron-multiplied Charge-Coupled Devices (EMCCDs).

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2008
Accession Number
ADA487206

Entities

People

  • Peter P. Antich

Organizations

  • University of Texas at Dallas

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Breast Cancer
  • Charge Coupled Devices
  • Computational Science
  • Computers
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Diffusion
  • Digital Images
  • Light Sources
  • Operating Systems
  • Optical Properties
  • Optics
  • Three Dimensional
  • Tomography
  • Two Dimensional
  • X-Ray Computed Tomography

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Medical Imaging.
  • Molecular Biology and Genetics

Technology Areas

  • Microelectronics