989 resultados para Diffusion Tensor Imaging
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OBJECTIVE-We studied whether manganese-enhanced high-field magnetic resonance (MR) imaging (MEHFMRI) could quantitatively detect individual islets in situ and in vivo and evaluate changes in a model of experimental diabetes.RESEARCH DESIGN AND METHODS-Whole pancreata from untreated (n = 3), MnCl(2) and glucose-injected mice (n = 6), and mice injected with either streptozotocin (STZ; n = 4) or citrate buffer (n = 4) were imaged ex vivo for unambiguous evaluation of islets. Exteriorized pancreata of MnCl(2) and glucose-injected mice (n = 6) were imaged in vivo to directly visualize the gland and minimize movements. In all cases, MR images were acquired in a 14.1 Testa scanner and correlated with the corresponding (immuno)histological sections.RESULTS-In ex vivo experiments, MEHFMRI distinguished different pancreatic tissues and evaluated the relative abundance of islets in the pancreata of normoglycemic mice. MEHFMRI also detected a significant decrease in the numerical and volume density of islets in STZ-injected mice. However, in the latter measurements the loss of beta-cells was undervalued under the conditions tested. The experiments on the externalized pancreata confirmed that MEHFMRI could visualize native individual islets in living, anesthetized mice.CONCLUSIONS-Data show that MEHFMRI quantitatively visualizes individual islets in the intact mouse pancreas, both ex vivo and in vivo. Diabetes 60:2853-2860, 2011
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Standard chest radiographs have been shown to be insensitive for the diagnosis of morphologic abnormalities of airways. Computed tomography is the most sensitive and specific investigation to diagnose emphysema. However, as emphysema may be missed on computed tomography, this investigation cannot be used to definitely rule out the diagnosis. Computed tomography may contribute to the investigation of bronchiolitis, and it is now considered as the gold standard for establishing the diagnosis of bronchiectasis. Imaging may contribute to identify complications such as bronchopulmonary infection, pulmonary hypertension, pneumothorax, cancer of the lung, compressive bullae, and pulmonary embolism.
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RESUME GRAND PUBLICLe cerveau est composé de différents types cellulaires, dont les neurones et les astrocytes. Faute de moyens pour les observer, les astrocytes sont très longtemps restés dans l'ombre alors que les neurones, bénéficiant des outils ad hoc pour être stimulés et étudiés, ont fait l'objet de toutes les attentions. Le développement de l'imagerie cellulaire et des outils fluorescents ont permis d'observer ces cellules non électriquement excitables et d'obtenir des informations qui laissent penser que ces cellules sont loin d'être passives et participent activement au fonctionnement cérébral. Cette participation au fonctionnement cérébral se fait en partie par le biais de la libération de substances neuro-actives (appellées gliotransmetteurs) que les astrocytes libèrent à proximité des synapses permettant ainsi de moduler le fonctionnement neuronal. Cette libération de gliotransmetteurs est principalement causée par l'activité neuronale que les astrocytes sont capables de sentir. Néanmoins, nous savons encore peu de chose sur les propriétés précises de la libération des gliotransmetteurs. Comprendre les propriétés spatio-temporelles de cette libération est essentiel pour comprendre le mode de communication de ces cellules et leur implication dans la transmission de l'information cérébrale. En utilisant des outils fluorescents récemment développés et en combinant différentes techniques d'imagerie cellulaire, nous avons pu obtenir des informations très précises sur la libération de ces gliotransmetteurs par les astrocytes. Nous avons ainsi confirmé que cette libération était un processus très rapide et qu'elle était contrôlée par des augmentations de calcium locales et rapides. Nous avons également décrit une organisation complexe de la machinerie supportant la libération des gliotransmetteurs. Cette organisation complexe semble être à la base de la libération extrêmement rapide des gliotransmetteurs. Cette rapidité de libération et cette complexité structurelle semblent indiquer que les astrocytes sont des cellules particulièrement adaptées à une communication rapide et qu'elles peuvent, au même titre que les neurones dont elles seraient les partenaires légitimes, participer à la transmission et à l'intégration de l'information cérébrale.RESUMEDe petites vésicules, les « SLMVs » ou « Synaptic Like MicroVesicles », exprimant des transporteurs vésiculaires du glutamate (VGluTs) et libérant du glutamate par exocytose régulée, ont récemment été décrites dans les astrocytes en culture et in situ. Néanmoins, nous savons peu de chose sur les propriétés précises de la sécrétion de ces SLMVs. Contrairement aux neurones, le couplage stimulussécrétion des astrocytes n'est pas basé sur l'ouverture des canaux calciques membranaires mais nécessite l'intervention de seconds messagers et la libération du calcium par le reticulum endoplasmique (RE). Comprendre les propriétés spatio-temporelles de la sécrétion astrocytaire est essentiel pour comprendre le mode de communication de ces cellules et leur implication dans la transmission de l'information cérébrale. Nous avons utilisé des outils fluorescents récemment développés pour étudier le recyclage des vésicules synaptiques glutamatergiques comme les colorants styryles et la pHluorin afin de pouvoir suivre la sécrétion des SLMVs à l'échelle de la cellule mais également à l'échelle des évènements. L'utilisation combinée de l'épifluorescence et de la fluorescence à onde évanescente nous a permis d'obtenir une résolution temporelle et spatiale sans précédent. Ainsi avons-nous confirmé que la sécrétion régulée des astrocytes était un processus très rapide (de l'ordre de quelques centaines de millisecondes). Nous avons découvert que cette sécrétion est contrôlée par des augmentations de calcium locales et rapides. Nous avons également décrit des compartiments cytosoliques délimités par le RE à proximité de la membrane plasmique et contenant les SLMVs. Cette organisation semble être à la base du couplage rapide entre l'activation des GPCRs et la sécrétion. L'existence de compartiments subcellulaires indépendants permettant de contenir les messagers intracellulaires et de limiter leur diffusion semble compenser de manière efficace la nonexcitabilité électrique des astrocytes. Par ailleurs, l'existence des différents pools de vésicules recrutés séquentiellement et fusionnant selon des modalités distinctes ainsi que l'existence de mécanismes permettant le renouvellement de ces pools lors de la stimulation suggèrent que les astrocytes peuvent faire face à une stimulation soutenue de leur sécrétion. Ces données suggèrent que la libération de gliotransmetteurs par exocytose régulée n'est pas seulement une propriété des astrocytes en culture mais bien le résultat d'une forte spécialisation de ces cellules pour la sécrétion. La rapidité de cette sécrétion donne aux astrocytes toutes les compétences pour pouvoir intervenir de manière active dans la transmission et l'intégration de l'information.ABSTRACTRecently, astrocytic synaptic like microvesicles (SLMVs), that express vesicular glutamate transporters (VGluTs) and are able to release glutamate by Ca2+-dependent regulated exocytosis, have been described both in tissue and in cultured astrocytes. Nevertheless, little is known about the specific properties of regulated secretion in astrocytes. Important differences may exist between astrocytic and neuronal exocytosis, starting from the fact that stimulus-secretion coupling in astrocytes is voltage independent, mediated by G-protein-coupled receptors and the release of Ca2+ from internal stores. Elucidating the spatiotemporal properties of astrocytic exo-endocytosis is, therefore, of primary importance for understanding the mode of communication of these cells and their role in brain signaling. We took advantage of fluorescent tools recently developed for studying recycling of glutamatergic vesicles at synapses like styryl dyes and pHluorin in order to follow exocytosis and endocytosis of SLMVs at the level of the entire cell or at the level of single event. We combined epifluorescence and total internal reflection fluorescence imaging to investigate, with unprecedented temporal and spatial resolution, the events underlying the stimulus-secretion in astrocytes. We confirmed that exo-endocytosis process in astrocytes proceeds with a time course on the millisecond time scale. We discovered that SLMVs exocytosis is controlled by local and fast Ca2+ elevations; indeed submicrometer cytosolic compartments delimited by endoplasmic reticulum (ER) tubuli reaching beneath the plasma membrane and containing SLMVs. Such complex organization seems to support the fast stimulus-secretion coupling reported here. Independent subcellular compartments formed by ER, SLMVs and plasma membrane containing intracellular messengers and limiting their diffusion seem to compensate efficiently the non-electrical excitability of astrocytes. Moreover, the existence of two pools of SLMVs which are sequentially recruited suggests a compensatory mechanisms allowing the refill of SLMVs and supporting exocytosis process over a wide range of multiple stimuli. These data suggest that regulated secretion is not only a feature of cultured astrocytes but results from a strong specialization of these cells. The rapidity of secretion demonstrates that astrocytes are able to actively participate in brain information transmission and processing.
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The determination of characteristic cardiac parameters, such as displacement, stress and strain distribution are essential for an understanding of the mechanics of the heart. The calculation of these parameters has been limited until recently by the use of idealised mathematical representations of biventricular geometries and by applying simple material laws. On the basis of 20 short axis heart slices and in consideration of linear and nonlinear material behaviour we have developed a FE model with about 100,000 degrees of freedom. Marching Cubes and Phong's incremental shading technique were used to visualise the three dimensional geometry. In a quasistatic FE analysis continuous distribution of regional stress and strain corresponding to the endsystolic state were calculated. Substantial regional variation of the Von Mises stress and the total strain energy were observed at all levels of the heart model. The results of both the linear elastic model and the model with a nonlinear material description (Mooney-Rivlin) were compared. While the stress distribution and peak stress values were found to be comparable, the displacement vectors obtained with the nonlinear model were generally higher in comparison with the linear elastic case indicating the need to include nonlinear effects.
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Neural stem cells have been proposed as a new and promising treatment modality in various pathologies of the central nervous system, including malignant brain tumors. However, the underlying mechanism by which neural stem cells target tumor areas remains elusive. Monitoring of these cells is currently done by use of various modes of molecular imaging, such as optical imaging, magnetic resonance imaging and positron emission tomography, which is a novel technology for visualizing metabolism and signal transduction to gene expression. In this new context, the microenvironment of (malignant) brain tumors and the blood-brain barrier gains increased interest. The authors of this review give a unique overview of the current molecular-imaging techniques used in different therapeutic experimental brain tumor models in relation to neural stem cells. Such methods for molecular imaging of gene-engineered neural stem/progenitor cells are currently used to trace the location and temporal level of expression of therapeutic and endogenous genes in malignant brain tumors, closing the gap between in vitro and in vivo integrative biology of disease in neural stem cell transplantation.
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The 1st chapter of this work presents the different experiments and collaborations in which I am involved during my PhD studies of Physics. Following those descriptions, the 2nd chapter is dedicated to how the radiation affects the silicon sensors, as well as some experimental measurements carried out at CERN (Geneve, Schwitzerland) and IFIC (Valencia, Spain) laboratories. Besides the previous investigation results, this chapter includes the most recent scientific papers appeared in the latest RD50 (Research & Development #50) Status Report, published in January 2007, as well as some others published this year. The 3rd and 4th are dedicated to the simulation of the electrical behavior of solid state detectors. In chapter 3 are reported the results obtained for the illumination of edgeless detectors irradiated at different fluences, in the framework of the TOSTER Collaboration. The 4th chapter reports about simulation design, simulation and fabrication of a novel 3D detector developed at CNM for ions detection in the future ITER fusion reactor. This chapter will be extended with irradiation simulations and experimental measurements in my PhD Thesis.
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PURPOSE: To introduce a new k-space traversal strategy for segmented three-dimensional echo planar imaging (3D EPI) that encodes two partitions per radiofrequency excitation, effectively reducing the number excitations used to acquire a 3D EPI dataset by half. METHODS: The strategy was evaluated in the context of functional MRI applications for: image quality compared with segmented 3D EPI, temporal signal-to-noise ratio (tSNR) (the ability to detect resting state networks compared with multislice two-dimensional (2D) EPI and segmented 3D EPI, and temporal resolution (the ability to separate cardiac- and respiration-related fluctuations from the desired blood oxygen level-dependent signal of interest). RESULTS: Whole brain images with a nominal voxel size of 2 mm isotropic could be acquired with a temporal resolution under half a second using traditional parallel imaging acceleration up to 4× in the partition-encode direction and using novel data acquisition speed-up of 2× with a 32-channel coil. With 8× data acquisition speed-up in the partition-encode direction, 3D reduced excitations (RE)-EPI produced acceptable image quality without introduction of noticeable additional artifacts. Due to increased tSNR and better characterization of physiological fluctuations, the new strategy allowed detection of more resting state networks compared with multislice 2D-EPI and segmented 3D EPI. CONCLUSION: 3D RE-EPI resulted in significant increases in temporal resolution for whole brain acquisitions and in improved physiological noise characterization compared with 2D-EPI and segmented 3D EPI. Magn Reson Med 72:786-792, 2014. © 2013 Wiley Periodicals, Inc.
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Diffusion MRI is a well established imaging modality providing a powerful way to probe the structure of the white matter non-invasively. Despite its potential, the intrinsic long scan times of these sequences have hampered their use in clinical practice. For this reason, a large variety of methods have been recently proposed to shorten the acquisition times. Among them, spherical deconvolution approaches have gained a lot of interest for their ability to reliably recover the intra-voxel fiber configuration with a relatively small number of data samples. To overcome the intrinsic instabilities of deconvolution, these methods use regularization schemes generally based on the assumption that the fiber orientation distribution (FOD) to be recovered in each voxel is sparse. The well known Constrained Spherical Deconvolution (CSD) approach resorts to Tikhonov regularization, based on an ℓ(2)-norm prior, which promotes a weak version of sparsity. Also, in the last few years compressed sensing has been advocated to further accelerate the acquisitions and ℓ(1)-norm minimization is generally employed as a means to promote sparsity in the recovered FODs. In this paper, we provide evidence that the use of an ℓ(1)-norm prior to regularize this class of problems is somewhat inconsistent with the fact that the fiber compartments all sum up to unity. To overcome this ℓ(1) inconsistency while simultaneously exploiting sparsity more optimally than through an ℓ(2) prior, we reformulate the reconstruction problem as a constrained formulation between a data term and a sparsity prior consisting in an explicit bound on the ℓ(0)norm of the FOD, i.e. on the number of fibers. The method has been tested both on synthetic and real data. Experimental results show that the proposed ℓ(0) formulation significantly reduces modeling errors compared to the state-of-the-art ℓ(2) and ℓ(1) regularization approaches.