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Time-domain diffuse optical tomography utilizing truncated Fourier series approximation

Mozumder, M; Tarvainen, T; (2020) Time-domain diffuse optical tomography utilizing truncated Fourier series approximation. Journal of the Optical Society of America A: Optics and Image Science, and Vision , 37 (2) pp. 182-191. 10.1364/JOSAA.37.000182. Green open access

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Abstract

Diffuse optical tomography (DOT) uses near infrared light for in vivo imaging of spatially varying optical parameters in biological tissues. It is known that time-resolved measurements provide the richest information on soft tissues, among other measurement types in DOT such as steady-state and intensity-modulated measurements. Therefore, several integral-transform-based moments of the time-resolved DOT measurements have been considered to estimate spatially distributed optical parameters. However, the use of such moments can result in low-contrast images and cross-talks between the reconstructed optical parameters, limiting their accuracy. In this work, we propose to utilize a truncated Fourier series approximation in time-resolved DOT. Using this approximation, we obtained optical parameter estimates with accuracy comparable to using whole time-resolved data that uses low computational time and resources. The truncated Fourier series approximation based estimates also displayed good contrast and minimal parameter cross-talk, and the estimates further improved in accuracy when multiple Fourier frequencies were used.

Type: Article
Title: Time-domain diffuse optical tomography utilizing truncated Fourier series approximation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1364/JOSAA.37.000182
Publisher version: http://dx.doi.org/10.1364/JOSAA.37.000182
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/10092622
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