Optical fluorescence tomography with the equation of radiative transfer for molecular imaging

Alexander D. Klose, Andreas H. Hielscher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Optical fluorescence tomography recovers the spatial distribution of light emitting fluorophores inside a highly scattering medium. The quantification of a non-uniform quantum yield and fluorophore absorption distribution is of major interest in molecular imaging of biological tissue. We have developed a fluorescence image reconstruction code that is based on the particle transport equation. Since the algorithm does not rely on the diffusion approximation it promises to yield more accurate results in highly absorbing media or media with small geometries. We show that the code can be employed in a two-stage reconstruction process to obtain images of the fluorophore absorption and of the quantum yield.

Original languageEnglish (US)
Title of host publicationPROGRESS IN BIOMEDICAL OPTICS AND IMAGING: Optical Tomography and Spectroscopy of Tissue V
Subtitle of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages219-225
Number of pages7
Volume4955
DOIs
StatePublished - 2003
EventPROGRESS IN BIOMEDICAL OPTICS AND IMAGING: Optical Tomography and Spectroscopy of Tissue V - San Jose, CA, United States
Duration: Jan 26 2003Jan 29 2003

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
ISSN (Print)0277-786X

Other

OtherPROGRESS IN BIOMEDICAL OPTICS AND IMAGING: Optical Tomography and Spectroscopy of Tissue V
Country/TerritoryUnited States
CitySan Jose, CA
Period1/26/031/29/03

Keywords

  • Discrete-ordinates method
  • Equation of radiative transfer
  • Finite-difference method
  • Fluorescence tomography
  • Image reconstruction
  • Molecular imaging
  • Quantum yield

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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