881 resultados para stop-motion
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BACKGROUND AND PURPOSE: Intravoxel incoherent motion MRI has been proposed as an alternative method to measure brain perfusion. Our aim was to evaluate the utility of intravoxel incoherent motion perfusion parameters (the perfusion fraction, the pseudodiffusion coefficient, and the flow-related parameter) to differentiate high- and low-grade brain gliomas. MATERIALS AND METHODS: The intravoxel incoherent motion perfusion parameters were assessed in 21 brain gliomas (16 high-grade, 5 low-grade). Images were acquired by using a Stejskal-Tanner diffusion pulse sequence, with 16 values of b (0-900 s/mm(2)) in 3 orthogonal directions on 3T systems equipped with 32 multichannel receiver head coils. The intravoxel incoherent motion perfusion parameters were derived by fitting the intravoxel incoherent motion biexponential model. Regions of interest were drawn in regions of maximum intravoxel incoherent motion perfusion fraction and contralateral control regions. Statistical significance was assessed by using the Student t test. In addition, regions of interest were drawn around all whole tumors and were evaluated with the help of histograms. RESULTS: In the regions of maximum perfusion fraction, perfusion fraction was significantly higher in the high-grade group (0.127 ± 0.031) than in the low-grade group (0.084 ± 0.016, P < .001) and in the contralateral control region (0.061 ± 0.011, P < .001). No statistically significant difference was observed for the pseudodiffusion coefficient. The perfusion fraction correlated moderately with dynamic susceptibility contrast relative CBV (r = 0.59). The histograms of the perfusion fraction showed a "heavy-tailed" distribution for high-grade but not low-grade gliomas. CONCLUSIONS: The intravoxel incoherent motion perfusion fraction is helpful for differentiating high- from low-grade brain gliomas.
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Cartel y tríptico
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When underwater vehicles perform navigation close to the ocean floor, computer vision techniques can be applied to obtain quite accurate motion estimates. The most crucial step in the vision-based estimation of the vehicle motion consists on detecting matchings between image pairs. Here we propose the extensive use of texture analysis as a tool to ameliorate the correspondence problem in underwater images. Once a robust set of correspondences has been found, the three-dimensional motion of the vehicle can be computed with respect to the bed of the sea. Finally, motion estimates allow the construction of a map that could aid to the navigation of the robot
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This paper proposes a parallel architecture for estimation of the motion of an underwater robot. It is well known that image processing requires a huge amount of computation, mainly at low-level processing where the algorithms are dealing with a great number of data. In a motion estimation algorithm, correspondences between two images have to be solved at the low level. In the underwater imaging, normalised correlation can be a solution in the presence of non-uniform illumination. Due to its regular processing scheme, parallel implementation of the correspondence problem can be an adequate approach to reduce the computation time. Taking into consideration the complexity of the normalised correlation criteria, a new approach using parallel organisation of every processor from the architecture is proposed
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In this paper we present a novel structure from motion (SfM) approach able to infer 3D deformable models from uncalibrated stereo images. Using a stereo setup dramatically improves the 3D model estimation when the observed 3D shape is mostly deforming without undergoing strong rigid motion. Our approach first calibrates the stereo system automatically and then computes a single metric rigid structure for each frame. Afterwards, these 3D shapes are aligned to a reference view using a RANSAC method in order to compute the mean shape of the object and to select the subset of points on the object which have remained rigid throughout the sequence without deforming. The selected rigid points are then used to compute frame-wise shape registration and to extract the motion parameters robustly from frame to frame. Finally, all this information is used in a global optimization stage with bundle adjustment which allows to refine the frame-wise initial solution and also to recover the non-rigid 3D model. We show results on synthetic and real data that prove the performance of the proposed method even when there is no rigid motion in the original sequence
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This paper presents a complete solution for creating accurate 3D textured models from monocular video sequences. The methods are developed within the framework of sequential structure from motion, where a 3D model of the environment is maintained and updated as new visual information becomes available. The camera position is recovered by directly associating the 3D scene model with local image observations. Compared to standard structure from motion techniques, this approach decreases the error accumulation while increasing the robustness to scene occlusions and feature association failures. The obtained 3D information is used to generate high quality, composite visual maps of the scene (mosaics). The visual maps are used to create texture-mapped, realistic views of the scene
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This paper discusses predictive motion control of a MiRoSoT robot. The dynamic model of the robot is deduced by taking into account the whole process - robot, vision, control and transmission systems. Based on the obtained dynamic model, an integrated predictive control algorithm is proposed to position precisely with either stationary or moving obstacle avoidance. This objective is achieved automatically by introducing distant constraints into the open-loop optimization of control inputs. Simulation results demonstrate the feasibility of such control strategy for the deduced dynamic model
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PURPOSE: Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image-based self-navigation technique is proposed that uses "sub-images" and compressed sensing (CS) to obtain translational motion correction in 2D. The method was preliminarily implemented as a 2D technique and tested for feasibility for targeted coronary imaging. METHODS: During a 2D segmented radial k-space data acquisition, heavily undersampled sub-images were reconstructed from the readouts collected during each cardiac cycle. These sub-images may then be used for respiratory self-navigation. Alternatively, a CS reconstruction may be used to create these sub-images, so as to partially compensate for the heavy undersampling. Both approaches were quantitatively assessed using simulations and in vivo studies, and the resulting self-navigation strategies were then compared to conventional navigator gating. RESULTS: Sub-images reconstructed using CS showed a lower artifact level than sub-images reconstructed without CS. As a result, the final image quality was significantly better when using CS-assisted self-navigation as opposed to the non-CS approach. Moreover, while both self-navigation techniques led to a 69% scan time reduction (as compared to navigator gating), there was no significant difference in image quality between the CS-assisted self-navigation technique and conventional navigator gating, despite the significant decrease in scan time. CONCLUSIONS: CS-assisted self-navigation using 2D translational motion correction demonstrated feasibility of producing coronary MRA data with image quality comparable to that obtained with conventional navigator gating, and does so without the use of additional acquisitions or motion modeling, while still allowing for 100% scan efficiency and an improved ease-of-use. In conclusion, compressed sensing may become a critical adjunct for 2D translational motion correction in free-breathing cardiac imaging with high spatial resolution. An expansion to modern 3D approaches is now warranted.
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BACKGROUND: Safety and economic issues have increasingly raised concerns about the long term use of immunomodulators or biologics as maintenance therapies for Crohn's disease (CD). Despite emerging evidence suggesting that stopping therapy might be an option for low risk patients, criteria identifying target groups for this strategy are missing, and there is a lack of recommendations regarding this question. METHODS: Multidisciplinary European expert panel (EPACT-II Update) rated the appropriateness of stopping therapy in CD patients in remission. We used the RAND/UCLA Appropriateness Method, and included the following variables: presence of clinical and/or endoscopic remission, CRP level, fecal calprotectin level, prior surgery for CD, and duration of remission (1, 2 or 4 years). RESULTS: Before considering withdrawing therapy, the prerequisites of a C-reactive protein (CRP) and fecal calprotectin measurement were rated as "appropriate" by the panellists, whereas a radiological evaluation was considered as being of "uncertain" appropriateness. Ileo-colonoscopy was considered appropriate 1 year after surgery or after 4 years in the absence of prior surgery. Stopping azathioprine, 6-mercaptopurine or methotrexate mono-therapy was judged appropriate after 4 years of clinical remission. Withdrawing anti-TNF mono-therapy was judged appropriate after 2 years in case of clinical and endoscopic remission, and after 4 years of clinical remission. In case of combined therapy, anti-TNF withdrawal, while continuing the immunomodulator, was considered appropriate after two years of clinical remission. CONCLUSION: A multidisciplinary European expert panel proposed for the first time treatment stopping rules for patients in clinical and/or endoscopic remission, with normal CRP and fecal calprotectin levels.
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This letter presents a comparison between threeFourier-based motion compensation (MoCo) algorithms forairborne synthetic aperture radar (SAR) systems. These algorithmscircumvent the limitations of conventional MoCo, namelythe assumption of a reference height and the beam-center approximation.All these approaches rely on the inherent time–frequencyrelation in SAR systems but exploit it differently, with the consequentdifferences in accuracy and computational burden. Aftera brief overview of the three approaches, the performance ofeach algorithm is analyzed with respect to azimuthal topographyaccommodation, angle accommodation, and maximum frequencyof track deviations with which the algorithm can cope. Also, ananalysis on the computational complexity is presented. Quantitativeresults are shown using real data acquired by the ExperimentalSAR system of the German Aerospace Center (DLR).
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SUMMARY Regional drug delivery is an approach designed to improve the selectivity of anticancer chemotherapy. The advantage of regional treatments lies in increasing the drug concentration in the affected organ, while the rest of the organism is spared, thus improving efficacy and limiting treatment toxicity. The goal of this thesis was to assess the distribution throughout the body and the disposition (pharmacokinetics) of two anticancer agents, doxorubicin and gemcitabine, administered by two different regional administration modalities: isolated lung perfusion (ILP) for pulmonary metastases from soft tissue sarcomas and abdominal stop-flow hypoxic perfusion for advanced pancreatic cancers, respectively. For this purpose, two high-performance liquid chromatography methods were developed and validated. The first enabled the determination of doxorubicin in four different biological matrices: serum, reconstituted effluent, tissues with low levels of doxorubicin and tissues with high levels of doxorubicin. The second allows the analysis of gemcitabine and its principal metabolite dFdU in plasma. The administration of doxorubicin by ILP was studied in three preclinical studies (one on pigs and two on rats). It was first shown that, regardless of the administration mode, doxorubicin was not homogeneously distributed throughout the lung and that some regions remained out of reach. Secondly, it was demonstrated that doxorubicin did not adequately reach the tumours despite very high levels found in the lung. Finally, an attempt to enhance the doxorubicin tumoural uptake by pharmacologic modulation using two P-glycoprotein inhibitors, cyclosporin and valspodar, was unsuccessful. The last part of this work involves the administration of gemcitabine by abdominal stop-flow as a part of a phase I clinical trial in patients with advanced pancreatic disease or resistant malignant ascites. The study has demonstrated that the regional exposure to gemcitabine was increased while the exposure of the entire organism was similar to standard intravenous administrations. From a toxicological perspective, the procedure was rather well tolerated. However, even if no clinical response is expected from a phase I study, no hints of clinical responses were unfortunately observed. In conclusion, even if loco-regional therapies may afford the pharmacological advantage of increasing anticancer drug levels at the tumour site, further studies of these investigational treatment modalities are warranted to ascertain whether they can provide a significant improvement of the cancer therapy for patients, in terms of treatment tolerability, improved responses and survival rates. RÉSUMÉ L'administration locorégionale d'agents anticancéreux est une approche destinée à augmenter la sélectivité du traitement. L'avantage des traitements régionaux repose sur le fait que la concentration du médicament cytostatique est augmentée dans l'organe où est localisée la tumeur, alors que le reste de l'organisme est épargné, améliorant ainsi en théorie l'efficacité du traitement et en limitant sa toxicité. Le but de ce travail de thèse avait pour objectif de préciser, la pharmacocinétique au sein de l'organisme de deux agents anticancéreux, la doxorubicine et la gemcitabine, administrés par deux types de perfusions loco-régionales: la perfusion isolée du poumon (ILP) pour les métastases pulmonaires de sarcomes des tissus mous, et la perfusion hypoxique (stop-flow) abdominale pour les cancers avancés du pancréas. Dans cette optique, deux méthodes de chromatographie liquide à haute performance ont été développées et validées. La première permet le dosage de la doxorubicine dans quatre milieux biologiques: le sérum, l'effluent reconstitué, ainsi que des tissus contenant des concentrations faibles et élevées en doxorubicine. La seconde méthode permet le dosage dans le plasma de la gemcitabine et de son principal métabolite, le dFdU. L'administration de doxorubicine par ILP a été étudiée dans trois études précliniques (une chez le porc et deux chez le rat). Il a été montré, dans un premier temps, que la doxorubicine n'était pas distribuée de façon homogène au sein du poumon, quel que soit son mode d'administration. Dans un deuxième temps, il a été démontré que le médicament n'atteignait pas les tumeurs de façon adéquate, malgré des concentrations très élevées au sein du tissu pulmonaire. Finalement, une tentative d'augmenter la pénétration tumorale de la doxorubicine par une modulation pharmacologique de la P-glycoprotéine en utilisant la cyclosporine et le valspodar n'a pas abouti. La dernière partie de ce travail concernait l'administration de gemcitabine par stop-flow abdominal dans le cadre d'une étude clinique de phase I menée auprès de patients atteints de cancers avancés du pancréas ou d'ascites malignes réfractaires. Cette étude a démontré que l'exposition régionale à la gemcitabine était augmentée, alors que l'exposition de l'organisme était similaire à une administration de dose standard par voie intraveineuse. D'un point de vue toxicologique la procédure fut relativement bien tolérée. Cependant, même s'il n'est pas attendu de réponses cliniques dans une étude de phase I, aucun signe de réponse au traitement n'a pu être malheureusement observé. En conclusion, même si les thérapies loco-régionales présentent -en théorie- l'avantage pharmacologique d'augmenter les taux du médicaments anticancéreux sur le site de la tumeur, d'autres études précliniques et cliniques sont nécessaires pour démontrer que ces nouvelles modalités de traitement, de nature investigationelle à présent, apportent une réelle amélioration pour la prise en charge des patients cancéreux, en terme de tolérance au traitement et de l'augmentation des taux de réponses et de survie.
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According to the World Health Organization, traumatic injuries worldwide are responsible for over 5 million deaths annually. Post-traumatic bleeding caused by traumatic injury-associated coagulopathy is the leading cause of potentially preventable death among trauma patients. Despite these facts, awareness of this problem is insufficient and treatment options are often unclear. The STOP the Bleeding Campaign therefore aims to increase awareness of the phenomenon of post-traumatic coagulopathy and its appropriate management by publishing European guidelines for the management of the bleeding trauma patient, by promoting and monitoring the implementation of these guidelines and by preparing promotional and educational material, organising activities and developing health quality management tools. The campaign aims to reduce the number of patients who die within 24 hours after arrival in the hospital due to exsanguination by a minimum of 20% within the next 5 years.