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Image-guided near infrared spectroscopy using boundary element method: phantom validation.

Subhadra Srinivasan¹, Colin Carpenter, Brian W Pogue

¹Thayer School of Engineering, Dartmouth College, 8000 Cummings Hall, Hanover, NH-03755.

Proceedings of Spie--The International Society for Optical Engineering

|September 28, 2011

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A new boundary element method (BEM) enhances image-guided near-infrared spectroscopy (IG-NIRS) for clinical trials. This faster, automated approach improves tissue characterization for broader population studies.

Area of Science:

Biomedical Optics
Medical Imaging
Computational Biology

Background:

Image-guided near-infrared spectroscopy (IG-NIRS) offers high-resolution in-vivo tissue characterization.
Hybrid IG-NIRS systems combine MRI anatomical data with diffuse optical imaging spectroscopy.
Optimization is crucial for large-scale clinical trials and broader population feasibility.

Purpose of the Study:

To present a novel 3-D boundary element method (BEM) for IG-NIRS systems.
To overcome limitations of existing finite element methods (FEM) in automation for large datasets.
To enable efficient and reliable spectral analysis for tissue characterization.

Main Methods:

Developed a 3-D BEM for IG-NIRS utilizing surface rendering and discretization.

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Implemented surface creation and meshing for automated processing.

Applied the method for multi-spectral non-invasive tissue characterization.

Main Results:

Phantom experiments demonstrated the method's efficacy.
Recovered oxygen dissociation curves with a mean error of 6.6%.
Successfully tracked variations in total hemoglobin linearly.

Conclusions:

The surface-based BEM offers a faster, more reliable alternative to volume meshing for IG-NIRS.
This automated approach facilitates the optimization of hybrid IG-NIRS systems for clinical applications.
The method shows promise for accurate in-vivo tissue analysis in larger patient cohorts.