Amplitude-independent two-layer fitting algorithm for hyperspectral time-resolved near-infrared spectroscopy

David J. F. Cohen; Seva Ioussoufovitch; Mamadou Diop

doi:10.1117/12.2647565

7 March 2023 Amplitude-independent two-layer fitting algorithm for hyperspectral time-resolved near-infrared spectroscopy

David J. F. Cohen, Seva Ioussoufovitch, Mamadou Diop

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Proceedings Volume PC12376, Optical Tomography and Spectroscopy of Tissue XV; PC1237606 (2023) https://doi.org/10.1117/12.2647565
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Current Time-Resolved Near-Infrared Spectroscopy (trNIRS) fitting methods require the inclusion of an amplitude term, to account for the unknown gain in the measurements. This increases the number of fitting parameters and the potential for crosstalk between them. We propose a method that eliminates the need for the amplitude term by fitting the temporal derivative of the natural log of the distributions of time-of-flight. The new approach was tested on a large in silico dataset and the accuracy of the estimated cerebral oxygenation and total hemoglobin were 2.2±2.4% and 1.9±0.8%, respectively. Future work will include further validation with in vivo data.

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David J. F. Cohen, Seva Ioussoufovitch, and Mamadou Diop "Amplitude-independent two-layer fitting algorithm for hyperspectral time-resolved near-infrared spectroscopy", Proc. SPIE PC12376, Optical Tomography and Spectroscopy of Tissue XV, PC1237606 (7 March 2023); https://doi.org/10.1117/12.2647565

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KEYWORDS

Near infrared spectroscopy

Detection and tracking algorithms

Oxygen

Chromophores

Head

Monte Carlo methods

Sensors

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