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Updated: May 12, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
Published on: July 17, 2012
Phantom and mouse experiments of time-domain fluorescence tomography using total light approach
Shinpei Okawa1, Akira Yano, Kazuki Uchida
1Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, 1-5-1 Chofuga-oka, Chofu, Tokyo 182-8585, Japan ; Currently with the Department of Medical Engineering, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513, Japan.
The total light approach significantly speeds up time-domain fluorescence tomography by reducing computation time. This method accurately reconstructs indocyanine green (ICG) distributions in phantom and mouse models.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Fluorescence Tomography
Background:
- Time-domain fluorescence tomography (TDFT) is a powerful imaging technique.
- Accurate modeling of light propagation is crucial for TDFT.
- Existing methods can be computationally intensive.
Purpose of the Study:
- To validate the proposed total light approach for TDFT.
- To assess the computational efficiency and accuracy of the total light approach.
- To demonstrate the applicability of the total light approach in both phantom and in vivo settings.
Main Methods:
- Acquisition of time-resolved temporal profiles from cylindrical phantoms with indocyanine green (ICG) solutions.
- Implementation of the total light approach to solve the forward model for light propagation.
- In vivo experiments using a mouse model with an embedded ICG capsule.
Main Results:
- The total light approach reduced computation time for solving the forward model.
- Reconstructed images accurately reflected ICG concentration distributions in phantoms with ~10 mm spatial resolution.
- In vivo mouse experiments showed accurate ICG distribution reconstruction, despite minor autofluorescence artifacts near the skin.
Conclusions:
- The total light approach is effective in accelerating TDFT.
- This method provides accurate quantitative imaging of fluorescent agents.
- The approach shows promise for biomedical applications requiring efficient and precise fluorescence imaging.

