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Related Experiment Video

Updated: Dec 23, 2025

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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[A Fluorescence Diffusion Optical Tomography System Based on Lattice Boltzmann Forward Model].

Xingxing Cen1, Zhuangzhi Yan1,2, Huandi Wu1

  • 1School of Communication and Information Engineering, Shanghai University, Shanghai, 200444. ##Email#.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|April 29, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a cost-effective Fluorescence Diffuse Optical Tomography (FDOT) system using a Lattice Boltzmann model. The system accurately simulates light propagation and reconstructs fluorescence probe distribution for biomedical applications.

Keywords:
Lattice Boltzmann methodfluorescence diffuse optical tomographyforward modellight transport simulationreconstruction system

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Computational Physics

Background:

  • Fluorescence Diffuse Optical Tomography (FDOT) is crucial for non-invasive biomedical applications like diagnostics and drug research.
  • FDOT enables quantitative, non-invasive determination of fluorescence probe distribution for target positioning and detection within biological tissues.

Purpose of the Study:

  • To develop a cost-effective FDOT system by employing a Lattice Boltzmann forward model.
  • To integrate light propagation simulation and FDOT reconstruction functionalities into a single system.

Main Methods:

  • Designed a FDOT system incorporating parameter, algorithm, result display, and data interaction modules.
  • Utilized a Lattice Boltzmann forward model for light propagation simulation and FDOT reconstruction.
  • Validated the system through light propagation simulation experiments and FDOT reconstruction experiments, comparing results with Monte Carlo simulations and known source positions.

Main Results:

  • The developed FDOT system demonstrated good reliability in both light propagation simulation and fluorescence probe distribution reconstruction.
  • Experimental comparisons validated the accuracy of the system against established Monte Carlo methods and real-world source localization.

Conclusions:

  • The proposed FDOT system, based on the Lattice Boltzmann forward model, offers a reliable and cost-effective solution for biomedical imaging.
  • The system shows significant potential for advancement and widespread adoption in medical diagnostics and pharmaceutical research.