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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

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Subsurface diffuse optical tomography can localize absorber and fluorescent objects but recovered image sensitivity

Dax S Kepshire¹, Scott C Davis, Hamid Dehghani

¹Thayer School of Engineering, Dartmouth College, New Hampshire 03755, USA. kepshire@dartmouth.edu

|March 16, 2007

Summary

Subsurface tomography using diffuse light can locate targets within 1.45 mm but struggles with accurate characterization at depth. Further improvements are needed for reliable subsurface imaging and surgical guidance.

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Area of Science:

Biomedical optics
Medical imaging
Subsurface imaging

Background:

Diffuse optical imaging offers noncontact subsurface characterization.
Absorption and fluorescence imaging are key modalities.
Understanding performance limitations is crucial for clinical translation.

Purpose of the Study:

To investigate subsurface tomography with diffuse light.
To characterize the performance of absorption and fluorescence imaging.
To assess the accuracy of target localization and quantification at varying depths.

Main Methods:

Utilized both computational simulations and experimental setups.
Employed a noncontact diffuse tomography approach.
Reconstructed subsurface heterogeneity using optical signals.

Main Results:

Demonstrated successful reconstruction of local subsurface heterogeneity.
Observed non-linear recovery of target size and fluorophore concentration with depth.
Achieved accurate mean position recovery (0.5-1.45 mm) within the top 10 mm for experimental targets.
Identified challenges in achieving linear response with increasing depth.

Conclusions:

Diffuse light tomography shows promise for detecting subsurface features.
Current limitations in linearity with depth may restrict characterization applications.
Tissue curvature and prior information may enhance performance.
The technique holds potential as a surgical guidance tool.