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13 February 2014 Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography
Ernesto E. Vidal-Rosas, Stephen Billings, Ying Zheng, John E. Mayhew, David K. Johnston, Aneurin J. Kennerley, Daniel Coca
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Journal of Biomedical Optics, Vol. 19, Issue 2, 026008 (February 2014). https://doi.org/10.1117/1.JBO.19.2.026008
Abstract
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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Ernesto E. Vidal-Rosas, Stephen Billings, Ying Zheng, John E. Mayhew, David K. Johnston, Aneurin J. Kennerley, and Daniel Coca "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 (13 February 2014). https://doi.org/10.1117/1.JBO.19.2.026008
Published: 13 February 2014
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Cited by 3 scholarly publications.
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KEYWORDS
3D modeling
Tissue optics
Data modeling
Absorption
Finite element methods
Reconstruction algorithms
Hemodynamics
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