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Quantitative Investigation of the Effect of the Extra-Cerebral Vasculature in Diffuse Optical Imaging: A Simulation Study

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2011

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Optical Society of America
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Dehaes, Mathieu, Louis Gagnon, Frederic Lesage, Melanie Pelegrini-Issac, Alexandre Vignaud, Romain Valabregue, Reinhard Grebe, Fabrice Wallois, and Habib Benali. 2011. Quantitative investigation of the effect of the extra-cerebral vasculature in diffuse optical imaging: A simulation study. Biomedical Optics Express 2(3): 680-695.

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Abstract

Diffuse optical imaging (DOI) is a non invasive technique allowing the recovery of hemodynamic changes in the brain. Due to the diffusive nature of photon propagation in turbid media and the fact that cerebral tissues are located around 1.5 cm under the adult human scalp, DOI measurements are subject to partial volume errors. DOI measurements are also sensitive to large pial vessels because oxygenated and deoxygenated hemoglobin are the dominant chromophores in the near infrared window. In this study, the effect of the extra-cerebral vasculature in proximity of the sagittal sinus was investigated for its impact on DOI measurements simulated over the human adult visual cortex. Numerical Monte Carlo simulations were performed on two specific models of the human head derived from magnetic resonance imaging (MRI) scans. The first model included the extra-cerebral vasculature in which constant hemoglobin concentrations were assumed while the second did not. The screening effect of the vasculature was quantified by comparing recovered hemoglobin changes from each model for different optical arrays and regions of activation. A correction factor accounting for the difference between the recovered and the simulated hemoglobin changes was computed in each case. The results show that changes in hemoglobin concentration are better estimated when the extra-cerebral vasculature is modeled and the correction factors obtained in this case were at least 1.4-fold lower. The effect of the vasculature was also examined in a high-density diffuse optical tomography configuration. In this case, the difference between changes in hemoglobin concentration recovered with each model was reduced down to 10%.

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