Techniques de spectroscopie proche infrarouge appliquées à la quantification de paramètres hémodynamiques
This master’s thesis is separated in two phases, both focused on near infrared spectroscopy for the quantification of hemodynamic parameters. NIRS is based on the measure of absorption (μa) and scattering (μs’) coefficients of tissues in order to recover the oxy- and deoxyhemoglobin concentrations in the blood. Its results are based on the photon propagation in tissue at different near-infrared wavelengths. The first NIRS system used during my studies is a time-resolved spectroscopy system. This device allowed us to retrieve absolute hemoglobin concentrations using a headband placed over the subject’s skin and centered on their forehead. The data analysis model which we used allowed us to separate extra-cerebral and cerebral contributions of the signal. This method yielded quantitative absolute measures of cerebral oxygen saturation as opposed to the traditional homogenous model where the signal is contaminated by superficial layers. A study on cerebral hemodynamic changes in young adults during exercise was conducted, and the published article detailing its results is transcribed in Chapter 2. Chapter 3 includes a review of this study and discusses potential future works. The second part of my research consisted in an industrial internship during the summer of 2016. Under the supervision of Dennis Hueber, Ph. D., and Beniamino Barbieri, Ph. D., I have worked on a NIRS device manufactured by ISS Inc., a prototype of which is currently in the laboratory of my supervisor Mathieu Dehaes, Ph. D. This device combines two NIRS modalities: frequency-domain NIRS and diffuse correlation spectroscopy. Chapter 4 details the work I have performed at ISS and the results of my research and analysis.
NIRS Brain Imaging Near Infrared Spectroscopy NIRS Brain oxygenation Cerebral Hemoglobin Cerebral metabolism Cerebral blood flow Physical exercise Signal processing