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Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography

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Vidal-Rosas, E. E., Billings, S. A., Zheng, Y. orcid id iconORCID: https://orcid.org/0000-0001-7472-6427, Mayhew, J. E., Johnston, D., Kennerley, A. J. and Coca, D. (2014) Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography. Journal of Biomedical Optics, 19 (2). 026008. ISSN 1560-2281 doi: 10.1117/1.JBO.19.2.026008

Abstract/Summary

This paper proposes a new reconstruction method for diffuse optical tomography using reduced-order models of light transport in tissue. The models, which directly map optical tissue parameters to optical flux measurements at the detector locations, are derived based on data generated by numerical simulation of a reference model. The reconstruction algorithm based on the reduced-order models is a few orders of magnitude faster than the one based on a finite element approximation on a fine mesh incorporating a priori anatomical information acquired by magnetic resonance imaging. We demonstrate the accuracy and speed of the approach using a phantom experiment and through numerical simulation of brain activation in a rat's head. The applicability of the approach for real-time monitoring of brain hemodynamics is demonstrated through a hypercapnic experiment. We show that our results agree with the expected physiological changes and with results of a similar experimental study. However, by using our approach, a three-dimensional tomographic reconstruction can be performed in ∼3  s per time point instead of the 1 to 2 h it takes when using the conventional finite element modeling approach

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/36581
Item Type Article
Refereed Yes
Divisions Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher SPIE
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