Zugriffsnummer 44556
Dokumenttyp Zeitschriftenartikel Open Access Gold
Peer Review mit Peer Review
Sprache Englisch
Titel Depth-selective data analysis for time-domain fNIRS: moments vs. time windows
Autor(in); Institution
Wabnitz, Heidrun; 8.3, Biomedizinische Optik, PTB-Berlin
Contini, Davide; Politecnico di Milano, Dipartimento di Fisica, Milan, ITALY
Spinelli, Lorenzo; Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle Ricerche, Milan, ITALY
Torricelli, Alessandro; Politecnico di Milano, Dipartimento di Fisica, Milano, ITALY
Liebert, Adam; Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, POLAND
Quelle/Jahr Biomedical Optics Express: 11 (2020), 8, 4224 - 4243
Availability [online only]
ISSN 2156-7085
DOI
Verlag Washington D.C.: Optical Society (OSA)
Freie Schlagworte fNIRS ; functional near-infrared spectroscopy ; time domain ; brain imaging ; data analysis ; perturbation simulations ; moments ; time windows ; depth selectivity
Zusammenfassung Time-domain measurements facilitate the elimination of the influence of extracerebral, systemic effects, a key problem in functional near-infrared spectroscopy (fNIRS) of the adult human brain. The analysis of measured time-of-flight distributions of photons often relies on moments or time windows. However, a systematic and quantitative characterization of the performance of these measurands is still lacking. Based on perturbation simulations for small localized absorption changes, we compared spatial sensitivity profiles and depth selectivity for moments (integral, mean time of flight and variance), photon counts in time windows and their ratios for different time windows. The influence of the instrument response function (IRF) was investigated for all measurands and for various source- detector separations. Variance exhibits the highest depth selectivity among the moments. Ratios of photon counts in different late time windows can achieve even higher selectivity. An advantage of moments is their robustness against the shape of the IRF and instrumental drifts.
Kostenfreier Zugang Open Access Gold
Rechteinformation CC BY 4.0 ; Creative Commons Attribution 4.0 License
Themenbereich der Metrologie Metrologie in der Medizin

Zitierung

Wabnitz, H., Contini, D., Spinelli, L., Torricelli, A., & Liebert, A. (2020). Depth-selective data analysis for time-domain fNIRS: moments vs. time windows. Biomedical Optics Express, 11(8), 4224–4243. https://doi.org/10.1364/boe.396585

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