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

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Performance evaluation of adaptive meshing algorithms for fluorescence diffuse optical tomography using experimental

Lu Zhou¹, Birsen Yazıcı, Angelique B F Ale

¹Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, New York 12180, USA.

|November 18, 2010

Summary

This summary is machine-generated.

Novel adaptive meshing algorithms improve Fluorescence Diffuse Optical Tomography (FDOT) image reconstruction. These methods balance accuracy and computational efficiency, demonstrating practical advantages with real phantom data.

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Area of Science:

Medical Imaging
Biomedical Optics
Computational Science

Background:

Fluorescence Diffuse Optical Tomography (FDOT) presents significant computational challenges.
Image reconstruction in FDOT involves a trade-off between accuracy and computational efficiency due to discretization.
Previous studies have explored discretization effects on FDOT imaging accuracy.

Purpose of the Study:

To analyze the impact of discretization on FDOT imaging accuracy.
To propose and evaluate novel adaptive meshing algorithms for FDOT.
To demonstrate the practical advantages of these algorithms in real-world FDOT applications.

Main Methods:

Analysis of discretization effects on FDOT forward and inverse problems.
Development of novel adaptive meshing algorithms tailored for FDOT.
Application of adaptive meshing algorithms to FDOT image reconstruction using experimental phantom data.

Main Results:

Adaptive meshing algorithms were successfully applied to FDOT imaging.
The algorithms demonstrated practical advantages in FDOT image reconstruction.
Validation using real data from a phantom experiment confirmed the effectiveness of the proposed methods.

Conclusions:

The developed adaptive meshing algorithms offer a solution to the accuracy-efficiency trade-off in FDOT.
These algorithms enhance the practical utility of FDOT for image reconstruction.
The study highlights the potential of adaptive meshing for improving FDOT performance.