Diffuse optical tomography of the brain : effects of inaccurate baseline optical parameters and refinements using learned post-processing
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2024-08-01
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en
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16
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Biomedical Optics Express, Volume 15, issue 8, pp. 4470-4485
Abstract
Diffuse optical tomography (DOT) uses near-infrared light to image spatially varying optical parameters in biological tissues. In functional brain imaging, DOT uses a perturbation model to estimate the changes in optical parameters, corresponding to changes in measured data due to brain activity. The perturbation model typically uses approximate baseline optical parameters of the different brain compartments, since the actual baseline optical parameters are unknown. We simulated the effects of these approximate baseline optical parameters using parameter variations earlier reported in literature, and brain atlases from four adult subjects. We report the errors in estimated activation contrast, localization, and area when incorrect baseline values were used. Further, we developed a post-processing technique based on deep learning methods that can reduce the effects due to inaccurate baseline optical parameters. The method improved imaging of brain activation changes in the presence of such errors.Description
Publisher Copyright: © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.
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Mozumder, M, Hirvi, P, Nissilä, I, Hauptmann, A, Ripoll, J & Singh, D E 2024, ' Diffuse optical tomography of the brain : effects of inaccurate baseline optical parameters and refinements using learned post-processing ', Biomedical Optics Express, vol. 15, no. 8, pp. 4470-4485 . https://doi.org/10.1364/BOE.524245