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This investigation evaluates the influences of optical property assumptions on nearinfrared diffuse correlation spectroscopy (DCS) flow index measurements. Independent variation is induced in optical properties, absorption coefficient (μa) and reduced scattering coefficient (μs’), of liquid phantoms with concurrent measurements of flow indices. A hybrid instrument is incorporated consisting of a dual-wavelength (785 and 830 nm) DCS flow device to obtain flow indices and a frequency-domain tissue-oximeter for optical properties. Flow indices are calculated with measured μa and μs’ or assumed constant μa and μs’. Inaccurate μs’ assumptions produced much larger flow index errors than inaccurate μa. Underestimated/overestimated μs’ from -35%/+175% lead to flow index errors of +110%/-80% and underestimated/overestimated μa from -40%/+150% lead to -20%/+40%, regardless of wavelength. Analysis of a clinical study involving human head and neck tumors indicates flow index errors due to inter-patient optical property variations up to +280%. Collectively, these findings suggest that studies involving significant μa and μs’ changes should measure flow index and optical properties simultaneously to accurately extract blood flow information. This study provides unique insight through the use of liquid phantoms, hybrid instrumentation, incorporation of measurement errors and a generalization into DCS flow index errors due to the influences of optical properties.

Master of Science / Department of Kinesiology / Thomas J. Barstow / Limb blood flow increases linearly with exercise intensity; however, invasive measurements of microvascular muscle blood flow during incremental exercise have demonstrated submaximal plateaus. Diffuse correlation spectroscopy (DCS) noninvasively quantifies relative changes in microvascular blood flow at rest via a blood flow index (BFI). The purpose of this study was to quantify relative changes in tissue blood flow during exercise using DCS, compare the BFI of the flexor digitorum superficialis (BFI[subscript]FDS) muscle to brachial artery blood flow (Q̇[subscript]BA) measured via Doppler ultrasound, and employ near infrared spectroscopy (NIRS) alongside DCS to simultaneously measure perfusive and diffusive oxygen transport within a single volume of exercising skeletal muscle tissue. We hypothesized Q̇[subscript]BA would increase with increasing exercise intensity until task failure, BFI[subscript]FDS would plateau at a submaximal work rate, and muscle oxygenation characteristics (total-[heme], deoxy-[heme], and % saturation) measured with NIRS would demonstrate a plateau at a similar work rate as BFI[subscript]FDS. Sixteen subjects (23.3 ± 3.9 yrs; 170.8 ± 1.9 cm; 72.8 ± 3.4 kg) participated in this study. Peak power (P[subscript]peak) was determined for each subject (6.2 ± 1.4W) via an incremental handgrip exercise test to task failure. Measurements of Q̇[subscript]BA, BFI[subscript]FDS, total-[heme], deoxy-[heme], and % saturation were made during each stage of the incremental exercise test. Q̇[subscript]BA increased with exercise intensity until the final work rate transition (p < 0.05). No increases in BFI[subscript]FDS or muscle oxygenation characteristics were observed at exercise intensities greater than 51.5 ± 22.9% of P[subscript]peak and were measured simultaneously in a single volume of exercising skeletal muscle tissue. Differences in muscle recruitment amongst muscles of the whole limb may explain the discrepancies observed in Q̇[subscript]BA and BFI[subscript]FDS responses during incremental exercise and should be further investigated.

Cerebral hemodynamics monitoring is vital in the neuroscience intensive care unit to assess brain health. Diffuse optical methods using near-infrared light, e.g., near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS), allow for non-invasive prolonged monitoring of cerebral hemoglobin oxygenation and blood flow. For patients suffering from cerebral fluid or tissue volume buildup, intracranial pressure (ICP) is monitored invasively as its elevation compromises cerebral perfusion. The critical closing pressure (CrCP) is a transcranial doppler (TCD) derived non-invasive parameter that correlates with ICP; however, its use is limited due to discomfort during extended TCD measurement. I expanded on Sutin’s preliminary study using DCS to estimate CrCP and found high correlations between DCS obtained CrCP against TCD (R2: 0.77-0.83) in stroke patients. The use of DCS to monitor CrCP is advantageous because its sensors are comfortable to wear and easy to use continuously without the need of a specialized operator. However, the low DCS signal-to-noise ratio (SNR) limits the depth sensitivity and temporal resolution of CrCP measures. Following these encouraging results, I built a low-cost wireless cerebral oximeter based on multi-distance continuous wave NIRS called FlexNIRS, which exhibits high SNR (NEP < 70 fw/Hz0.5) and high sampling rate (266 Hz). This device not only quantifies cerebral oxygenation but resolves the pulsatile blood volume signal at large source-detector separations (33 mm). Using the relationship between blood flow and volume, I augmented pulsatile DCS blood flow measurements with FlexNIRS pulsatile signals. I experimentally demonstrated the high fidelity (R2: 0.98) and > 50-fold SNR improvement of the method, resulting in a one order of magnitude increase in the temporal resolution of CrCP estimates. / 2024-06-12T00:00:00Z

This thesis describes the development and applications of an extension of DWS which enables the recovery of ‘localized’ mechanical properties, in a specified region of a complex jelly-like object which is inhomogeneous, marked out by the focal volume of an ultrasound transducer, also called the region-of-interest (ROI). Introduction of the sinusoidal forcing creates a sinusoidal phase variation in the detected light in a DWS experiment which modulates the measured intensity autocorrelation, g2 (τ ). Decay in the modulation depth with τ is used to recover the visco-elastic spectrum of the material in the ROI. En route to this, growth of the mean-squared dis- placement (MSD) with time is extracted from the modulation depth decay, which was verified first by the usual DWS experimental data from an homogeneous object with properties matching those in the ROI of the inhomogeneous object and then those obtained by solving the generalized Langevin equation (GLE) modelling the dynamics of a typical scattering centre in the ROI. A region-specific visco-elastic spectral map was obtained by scanning the inhomogeneous object by the ultrasound focal volume. Further, the resonant modes of the vibrating ROI were measured by locating the peaks of the modulation depth variation in g2(τ ) with respect to the ultrasound frequency. These resonant modes were made use of to recover elasticity of the material of the object in the ROI. Using a similar strategy, it was also shown that flow in pipe can be detected and flow rate computed by ‘tagging’ the photons passing through the pipe with a focussed ultrasound beam. It is demonstrated, both through experiments and simulations that the ultrasound-assisted technique devel- oped is better suited to both detect and quantitatively assess flow in a background of Brownian dynamics than the usual DWS. In particular, the MSD of particles in the flow, which shows forth a super-diffusive dynamics with MSD growing following τ α with α < 2, is captured over larger intervals of τ than was possible using existing methods. On the theoretical front, the main contribution is the derivation of the GLE, with multiplicative noise modulating the interaction ‘spring constant’. The noise is derived as an average effect of the micropolar rotations suffered by the ‘bath’ particles on the ‘system’ particle modelled. It has been shown that the ‘local’ dynamics of the system particle is nontrivially influenced by the dynamics, both translation and rotation, of ‘nonlocal’ bath particles.

New optical technologies were developed to continuously measure cerebral blood flow (CBF) and oxygen metabolism (CMRO2) non-invasively through the skull. Methods and devices were created to improve the performance of near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) for use in experimental animals and humans. These were employed to investigate cerebral metabolism and cerebrovascular reactivity under different states of anesthesia and during models of pathological states. Burst suppression is a brain state arising naturally in pathological conditions or under deep general anesthesia, but its mechanism and consequences are not well understood. Electroencephalography (EEG) and cortical hemodynamics were simultaneously measured in rats to evaluate the coupling between cerebral oxygen metabolism and neuronal activity in the burst suppressed state. EEG bursts were used to deconvolve NIRS and DCS signals into the hemodynamic and metabolic response function for an individual burst. This response was found to be similar to the stereotypical functional hyperemia evoked by normal brain activation. Thus, spontaneous burst activity does not cause metabolic or hemodynamic dysfunction in the cortex. Furthermore, cortical metabolic activity was not associated with the initiation or termination of a burst. A novel technique, time-domain DCS (TD-DCS), was introduced to significantly increase the sensitivity of transcranial CBF measurements to the brain. A new time-correlated single photon counting (TCSPC) instrument with a custom high coherence pulsed laser source was engineered for the first-ever simultaneous measurement of photon time of flight and DCS autocorrelation decays. In this new approach, photon time tags are exploited to determine path-length-dependent autocorrelation functions. By correlating photons according to time of flight, CBF is distinguished from superficial blood flow. Experiments in phantoms and animals demonstrate TD-DCS has significantly greater sensitivity to the brain than existing transcranial techniques. Intracranial pressure (ICP) modulates both steady-state and pulsatile CBF, making CBF a potential marker for ICP. In particular, the critical closing pressure (CrCP) has been proposed as a surrogate measure of ICP. A new DCS device was developed to measure pulsatile CBF non-invasively. A novel method for estimating CrCP and ICP from DCS measurement of pulsatile microvascular blood flow in the cerebral cortex was demonstrated in rats. / 2018-03-08T00:00:00Z

This study combines noninvasive hybrid diffuse optical spectroscopies [near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS)] with occlusive calibration for continuous measurement of absolute blood flow (BF), tissue blood oxygenation (StO2), and oxygen consumption rate (VO2) in exercising skeletal muscle. Subjects performed rhythmic dynamic handgrip exercise, while an optical probe connected to a hybrid NIRS/DCS flow-oximeter directly monitored oxy-, deoxy-, and total hemoglobin concentrations ([HbO2], [Hb], and [tHb]), StO2, relative BF (rBF), and relative VO2 (rVO2) in the forearm flexor muscles. Absolute baseline BF and VO2 were obtained through venous and arterial occlusions, respectively, and used to calibrate continuous relative parameters. Previously known problems with muscle fiber motion artifact in optical measurements were mitigated with a novel dynamometer-based gating algorithm. Nine healthy young subjects were measured and results validated against previous literature findings. Ten older subjects with fibromyalgia and thirteen age-matched healthy controls were then successfully measured to observe differences in hemodynamic and metabolic response to exercise. This study demonstrates a novel application of NIRS/DCS technology to simultaneously evaluate quantitative hemodynamic and metabolic parameters in exercising skeletal muscle. This method has broad application to research and clinical assessment of disease (e.g. peripheral vascular disease, fibromyalgia), treatment evaluation, and sports medicine.

This research investigates various applications of diffuse correlation spectroscopy (DCS) on in-vivo human muscle tissue, both at rest and during dynamic exercise. Previously suspected muscle tissue relative blood flow (rBF) baseline shift during extended measurement with DCS and DCS-Near infrared spectroscopy (NIRS) hybrid optical systems are verified, quantified, and resolved by redesign of optical probe and alteration in optical probe attachment methodology during 40 minute supine bed rest baseline measurements. We then translate previously developed occlusion techniques, whereby rBF and relative oxygen consumption rV̇O2 are calibrated to initial resting absolute values by use of a venous occlusion (VO) and arterial occlusion (AO) protocol, respectively, to the lower leg (gastrocnemius) and these blood flows are cross validated at rest by strain gauge venous plethysmography (SGVP). Methods used to continuously observe 0.5Hz, 30% maximum voluntary isometric contraction (MVIC) plantar flexion exercise via dynamometer are adapted for our hybrid DCS-Imagent diffuse optical flow-oximeter in the medial gastrocnemius. We obtain healthy control muscle tissue hemodynamic profiles for key parameters BF, V̇O2, oxygen saturation (StO2), deoxyhemoglobin, oxyhemoglobin, and total hemoglobin concentrations ([Hb], [HbO2], and THC respectively), as well as systemic mean arterial pressure (MAP) and pulse rate (PR), at rest, during VO/AO, during dynamic exercise and during 15 minute recovery periods. Next, we began investigation of muscle tissue hemodynamic disease states by performing a feasibility pilot study using limited numbers of controls and peripheral arterial disease (PAD) patients using the translated methods/techniques to determine the ability of our technology to assess differences in these populations.

Orientador: Rickson Coelho Mesquita / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Física Gleb Wataghin / Made available in DSpace on 2018-08-27T04:25:10Z (GMT). No. of bitstreams: 1 Forti_RodrigoMenezes_M.pdf: 12387880 bytes, checksum: 7008f6dbed4a5d63effefff5a6582b33 (MD5) Previous issue date: 2015 / Resumo: Técnicas de espectroscopia baseadas em óptica de difusão são essenciais para a obtenção das propriedades ópticas e dinâmicas em meios turvos, caracterizados pela predominância dos efeitos de espalhamento sobre a absorção. Nestas condições, a luz se propaga esfericamente no meio, num regime aproximadamente difusivo. A luz espalhada pode então ser detectada no mesmo plano de incidência, e sua detecção fornece informação das propriedades ópticas e dinâmicas das moléculas que compõem o meio. Em particular, a técnica encontra uma vasta aplicação no estudo das propriedades do tecido biológico, uma vez que este se comporta como um meio turvo na região do infravermelho próximo. Por se tratar de uma técnica experimental relativamente recente, pouco é conhecido em relação à propagação da luz em meios com diferentes geometrias, principalmente em relação às propriedades dinâmicas do meio. Este projeto propôs um estudo teórico-experimental detalhado da propagação da luz em meios turvos semi-infinitos e de duas camadas, com foco na obtenção das propriedades dinâmicas do meio, através de uma técnica óptica de difusão conhecida como espectroscopia de correlação de difusão (DCS). Mais especificamente, esse projeto testou as geometrias de um meio semi-infinito e de duas camadas, com o uso de simulações de Monte Carlo e experimentos em ambientes controlados. Foi mostrado que o uso da geometria de duas camadas, ao invés da de um meio semi-infinito, como é usualmente feito na literatura, traz melhoras significativas para a recuperação das propriedades de fluxo do meio. As geometrias usadas neste trabalho representam aproximações mais precisas das estruturas muscular e cerebral, por exemplo, e retratam diferentes situações encontradas em Biologia e Medicina. Por fim, o sistema também foi testado em voluntários sadios. Os resultados obtidos neste projeto tem aplicação direta nas áreas citadas, e podem contribuir significativamente para o desenvolvimento de técnicas físicas para o monitoramento cerebral e muscular na clínica médica / Abstract: Spectroscopic techniques based on diffuse optics are essential for determination of the optical and dynamical properties of turbid media, in which scattering predominates over absorption. Under these conditions, light propagates spherically in the medium, in an approximate diffusive regimen. Scattered light can thus be detected at the same plane of incidence, and its detection can provide information both on the optical and dynamical properties of the medium. Diffuse optical techniques are particularly useful to study the properties of biological tissue, since it behaves like a turbid medium in the near infrared region. Because diffuse optics is a relatively novel experimental technique, not much is known regarding the propagation of light in media with different geometries, particularly with relation to the dynamical properties of the medium. This project proposes a combined theoretical and experimental study of light propagation in semi-infinite and two-layered turbid media, focusing on the dynamical properties of the medium with a diffuse optical technique called diffuse correlation spectroscopy (DCS). More specifically, this project employed the semi-infinite and the two-layer geometries, testing them using Monte Carlo simulations and controlled enviroments. It was shown that by using a two-layer geometry, instead of the semi-infinite geometry, as routinely done in the literature, it is possible to significantly improve the accuracy of the recovered dynamical properties. The geometries tested in this work represent more accurate approximations for muscle and brain structures, for example, and therefore could depict different situations encountered in problems in the fields of Biology and Medicine. Last, the system was also tested in healthy subjects. The results obtained in this project have direct application in the above-cited fields, and may significantly contribute to the development of experimental techniques for diagnosis and/or monitoring of the brain and muscle in the clinic / Mestrado / Física / Mestre em Física

Many cerebral diseases are associated with abnormal cerebral hemodynamics and impaired cerebral autoregulation (CA). CA is a mechanism to maintain cerebral blood flow (CBF) stable when mean arterial pressure (MAP) fluctuates. Evaluating these abnormalities requires direct measurements of cerebral hemodynamics and MAP. Several near-infrared diffuse optical instruments have been developed in our laboratory for hemodynamic measurements including near-infrared spectroscopy (NIRS), diffuse correlation spectroscopy (DCS), hybrid NIRS/DCS, and dual-wavelength DCS flow-oximeter. We utilized these noninvasive technologies to quantify CBF and cerebral oxygenation in different populations under different physiological conditions/manipulations. A commercial finger plethysmograph was used to continuously monitor MAP. For investigating the impact of obstructive sleep apnea (OSA) on cerebral hemodynamics and CA, a portable DCS device was used to monitor relative changes of CBF (rCBF) during bilateral thigh cuff occlusion. Compared to healthy controls, smaller reductions in rCBF and MAP following cuff deflation were observed in patients with OSA, which might result from the impaired vasodilation. However, dynamic CAs quantified in time-domain (defined by rCBF drop/MAP drop) were not significantly different between the two groups. We also evaluated dynamic CA in frequency-domain, i.e., to quantify the phase shifts of low frequency oscillations (LFOs) at 0.1 Hz between cerebral hemodynamics and MAP under 3 different physiological conditions (i.e., supine resting, head-up tilt (HUT), paced breathing). To capture dynamic LFOs, a hybrid NIRS/DCS device was upgraded to achieve faster sampling rate and better signal-to-noise. We determined the best hemodynamic parameters (i.e., CBF, oxygenated and total hemoglobin concentrations) among the measured variables and optimal physiological condition (HUT) for detecting LFOs in healthy subjects. Finally, a novel dual-wavelength DCS flow-oximeter was developed to monitor cerebral hemodynamics during HUT-induced vasovagal presyncope (VVS) in healthy subjects. rCBF was found to have the best sensitivity for the assessment of VVS among the measured variables and was likely the final trigger of VVS. A threshold of ~50% rCBF decline was observed which can completely separate subjects with or without presyncope, suggesting its potential role for predicting VVS. With further development and applications, NIRS/DCS techniques are expected to have significant impacts on the evaluation of cerebral hemodynamics and autoregulation.