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This research was a collaborative effort between the Air Force Research Laboratory (AFRL) and the University of Texas at Austin to study laser induced thermal lensing. Analysis with a high-frame rate thermal camera system in an optical cuvette determined rates of heating and cooling in water exposed to 1200, 1310 and 1318-nm wavelengths. Thermal modeling software (BTEC) developed at AFRL was used to simulate the beam parameters that were used experimentally. The simulation was also used to compute axial temperature for various power levels, beam diameters, and pulse durations. Laser-induced optical pathlength modulation or phase-shift was computed to study the thermal lensing effect. Power and irradiance damage thresholds were calculated for collimated and focused geometries to study the effect in a focusing eye on retinal damage thresholds. / text

No description available.

No description available.

Les microsphères d'embolisation, apparues dans les années 2000, sont des dispositifs médicaux dirigées contre les tumeurs hépatiques non opérables. Elles sont calibrés et peuvent être chargées en anticancéreux. Ces avancées majeures permettent de contrôler le niveau d'occlusion et la concentration en principe actif à injecter dans la tumeur. Cependant, le type, la taille des microsphères ou encore la concentration en anticancéreux varient d'un centre à un autre et d'un pays à un autre. Notre travail vise à comparer, sur des modèles de tumeurs hépatiques, les propriétés d'élution et l'efficacité antitumorale de différentes préparations de microsphères. La microspectroscopie infrarouge est utilisée pour mesurer la quantité de doxorubicine présente dans les microsphères à différents délais alors que la microspectrofluorimétrie permet d'évaluer la concentration et la distribution de la doxorubicine autour des billes. L'évaluation de l'activité antitumorale du traitement est mesurée sur les images spectrales infrarouge grâce à un modèle de prédiction et confirmée par un examen histopathologique. Les résultats ont montré que la vitesse d'élution dépend des propriétés physicochimiques de la microsphère, de sa taille et de la concentration de chargement. Les concentrations tissulaires de doxorubicine mesurées induisent une réduction significative de la viabilité tumorale. Le model de prédiction est un outil robuste et précis pour évaluer les modifications tissulaires. Ces résultats permettent de formuler des hypothèses mécanistiques sur l'activité antitumorale de différentes préparations de microsphères afin d'optimiser leur utilisation dans une stratégie thérapeutique clinique. / Transarterial chemoembolization is the most common treatment for patients with unresectable liver tumors. Calibrated drug eluting beads offer the advantages of controlling the level of occlusion, the amount of drug delivered, and the duration of drug delivery to the tumor. However, optimal procedure still remains unanswered and treatments differ through the use of various beads sizes or dose of loading. Our work is to compare, on experimental liver tumor model, the release properties and antitumor effects for different preparations of doxorubicin eluting beads. The amount of drug retained inside the beads, at different time point, is assessed by infrared microspectroscopy. Doxorubicin concentration and distribution in the tissue are determined by microspectrofluorimetry. Tissue modifications are quantified by a prediction model on infrared images and compared with the conventional pathological examination of stained tissue sections. Results show that elution rate of doxorubicin depend on the beads composition, the size and the loaded concentration. The doxorubicin tissue concentration induces a significant decrease of tumor viability. The prediction model established by infrared microspectroscopy is an accurate and robust tool to quantify tissue modifications. These results allow the formulation of mechanistic hypotheses on antitumor activity of different preparations of beads to optimize their use in a clinical therapeutic strategy.

Clinical course of multiple sclerosis (MS) is heterogenous and white matter lesion count and volume on brain magnetic resonance imaging (MRI) correlate with clinical course only partially. Therefore, there is an urgent need for more reliable prognostic biomarkers. This work explored three imaging markers - spinal cord (SC) imaging (specifically SC volume measurement and assessment of focal and diffuse SC changes), atlas-based model of "disconnectome" (i.e. disruption of brain connectivity due to white matter lesions) and periventricular white matter gradient assessed with T1 relaxometry. For the SC projects, we assessed MRI from 2044 MS patients with a semi-automatic method for SC volume measurement. We confirmed (i) a relationship between diffuse SC changes, SC volume and disability; (ii) a novel finding was that in patients with EDSS ≤ 4.0, diffuse changes contributed to higher disability more than SC volume; (iii) SC volume explains the paradox in patients with dissociation between brain white matter lesion load and disability; (iv) SC focal and/or diffuse changes are present in 75% patients with early MS, of which 43% have diffuse changes that are related to brainstem lesions. In the disconnectome project, we evaluated the disruption of connectivity caused by white mater lesions in 745 patients...