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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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[A Method for Fluorescent Diffuse Optical Tomography Based on Lattice Boltzmann Forward Model on GPU

Huandi Wu1, Zhuangzhi Yan1, Xingxing Cen1

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

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|May 14, 2020
PubMed
Summary
This summary is machine-generated.

We developed a faster method for Fluorescent Diffuse Optical Tomography (FDOT) using the Lattice Boltzmann Method (LBM) on GPUs. This significantly speeds up simulations, making FDOT more practical for biological and medical imaging applications.

Keywords:
Fluorescent Diffuse Optical TomographyGPULattice Boltzmann method

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Area of Science:

  • Biomedical Imaging
  • Computational Science

Background:

  • Fluorescent Diffuse Optical Tomography (FDOT) is a promising imaging technique in biology and medicine.
  • Current forward problem solutions for FDOT are computationally intensive, limiting practical applications.

Purpose of the Study:

  • To develop a computationally efficient method for solving the forward problem in FDOT.
  • To accelerate FDOT simulations using the Lattice Boltzmann Method (LBM) on Graphics Processing Units (GPUs).

Main Methods:

  • Implemented the Lattice Boltzmann Method (LBM) to model light propagation in FDOT.
  • Optimized LBM by parallelizing collision, streaming, and boundary processing on GPUs for efficient computation.
  • Validated the method using numerical and physical phantoms.

Main Results:

  • Achieved a significant speed-up of 118x compared to the Finite Element Method (FEM) on CPU.
  • Maintained simulation accuracy while drastically improving computational efficiency.
  • Demonstrated the feasibility and effectiveness of the GPU-accelerated LBM for FDOT.

Conclusions:

  • The proposed LBM on GPU is an efficient approach to solve the FDOT forward problem.
  • This acceleration can overcome current limitations and expand FDOT's use in biological and medical fields.
  • GPU-accelerated LBM offers a viable solution for real-time or near-real-time FDOT imaging.