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Evaluation of temporal moments and Fourier transformed data in time-domain diffuse optical tomography

Mozumder, M; Tarvainen, T; (2020) Evaluation of temporal moments and Fourier transformed data in time-domain diffuse optical tomography. Journal of the Optical Society of America A , 37 (12) pp. 1845-1856. 10.1364/JOSAA.405541. Green open access

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Abstract

Time-domain diffuse optical tomography (TD-DOT) uses near-infrared pulsed lasers as light sources to measure time-varying exitance on the boundary of the target. These are used to estimate optical properties of the imaged target. Several integral-transform-based moments of the time-resolved data have been utilized in TD-DOT, the most common being the mean time of flight and variance. Recently, it has been shown that Fourier transforming the time-domain data to frequency domain enables utilization of these data at one or several frequencies, producing equally as good estimates as the whole time-domain data. In this work, we present a systematic comparison of the usage of the temporal moments and Fourier transformed data in TD-DOT. Both absolute and difference imaging are evaluated using numerical simulations. The simulations show that utilizing temporal moments and Fourier transformed data in TD-DOT provides good quality reconstructions with a good estimation accuracy. These estimates are improved if more than one data type is used. Furthermore, the simulations show that the frequency-domain computations enable computationally cheaper and straightforward implementation of the inverse solver when compared to the temporal moments.

Type: Article
Title: Evaluation of temporal moments and Fourier transformed data in time-domain diffuse optical tomography
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1364/JOSAA.405541
Publisher version: https://doi.org/10.1364/JOSAA.405541
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10119117
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