Paper
9 August 2023 Time-multiplexing approach for fast time-domain near-infrared optical tomography combined with neural-network-enhanced image reconstruction
A. Kalyanov, M. Ackermann, E. Russomanno, M. Wolf, J. Jiang
Author Affiliations +
Abstract
Near-infrared optical tomography (NIROT) is a non-invasive imaging technique based on diffuse propagation of light in turbid media. It has high sensitivity to tissue oxygenation, which is a vital biomarker. NIROT enables one to quantify and image oxygenation at a bed-side in clinics, thus complementing other imaging modalities. Time-domain (TD) NIROT systems benefit from time-of-flight (ToF) information, but are often affected by relatively low signal-to-noise ratio and long acquisition time. However, fast acquisition is needed for in vivo assessment of oxygenation. In this work we present a time-multiplexing approach which enables multiple-fold faster acquisition with high SNR, suitable for various ToF applications, including NIROT. We combine it with hybrid convolutional neural-network (hCNN)-enhanced reconstruction to achieve an impressive 11-fold increase in acquisition speed.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
A. Kalyanov, M. Ackermann, E. Russomanno, M. Wolf, and J. Jiang "Time-multiplexing approach for fast time-domain near-infrared optical tomography combined with neural-network-enhanced image reconstruction", Proc. SPIE 12628, Diffuse Optical Spectroscopy and Imaging IX, 1262812 (9 August 2023); https://doi.org/10.1117/12.2670186
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KEYWORDS
Image restoration

Optical tomography

Oxygenation

Signal to noise ratio

In vivo imaging

Nervous system

Turbidity

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