Letteratura scientifica selezionata sul tema "Imagerie par Résonnance Magnétique (IRM)"
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Articoli di riviste sul tema "Imagerie par Résonnance Magnétique (IRM)":
Moussali, Nadia, Omar Amriss e Naima Elbenna. "Indications of magnetic resonance imaging". Batna Journal of Medical Sciences (BJMS) 2, n. 2 (30 dicembre 2012): 196–99. http://dx.doi.org/10.48087/bjmstf.2015.2221.
Lhuaire, M., A. Martinez, H. Kaplan, J. M. Nuzillard, M. Castela, Y. Renard, R. Tonnelet, C. Avisse, M. Braun e M. Labrousse. "Anatomie du développement humain : intérêt de la micro-imagerie par résonnance magnétique (micro-IRM)". Morphologie 97, n. 318-319 (ottobre 2013): 97. http://dx.doi.org/10.1016/j.morpho.2013.09.090.
Vignaux, Olivier. "Imagerie par résonance magnétique (IRM) cardiaque". La Presse Médicale 33, n. 13 (luglio 2004): 891–95. http://dx.doi.org/10.1016/s0755-4982(04)98779-9.
Peiffer, R. "Imagerie par résonance magnétique (IRM) des tumeurs cervicofaciales". Journal of Oral and Maxillofacial Surgery 49, n. 9 (settembre 1991): 1028. http://dx.doi.org/10.1016/0278-2391(91)90073-u.
Lin, C., A. Luciani, C. Haioun, F. Pigneur, J. F. Deux, P. Zerbib, A. Vignaud et al. "Imagerie par résonance magnétique (IRM) corps entier en cancérologie". Oncologie 9, n. 4 (aprile 2007): 286–93. http://dx.doi.org/10.1007/s10269-007-0640-2.
Boutiere, C., A. Verschueren, J. Gallard, J. Franques, E. Salort-Campana, S. Attarian e J. Pouget. "Myopathie amyloïde : aspects inhabituels en imagerie par résonance magnétique (IRM)". Pratique Neurologique - FMC 5, n. 1 (febbraio 2014): 69–71. http://dx.doi.org/10.1016/j.praneu.2013.12.006.
Paul, J. F. "Évaluation des flux en imagerie par résonnance magnétique cardiaque : l’imagerie de flux 4D". Annales de Cardiologie et d'Angéiologie 69, n. 5 (novembre 2020): 273–75. http://dx.doi.org/10.1016/j.ancard.2020.09.011.
Roger, B., E. A. Cabanis, M. Laval-Jeantet, M. T. Iba-Zizen, J. M. Alfonso, P. Christel, C. Christov e G. Perez. "Imagerie par résonance magnétique (IRM) et traumatologie du sport (30 observations)". Science & Sports 1, n. 1 (gennaio 1986): 49–57. http://dx.doi.org/10.1016/s0765-1597(86)80074-0.
Falip, C., P. Hornoy, A. E. Millischer Bellaïche, V. Merzoug e C. Adamsbaum. "Imagerie par résonance magnétique (IRM) fœtale cérébrale : indications, aspects normaux et pathologiques". Revue Neurologique 165, n. 11 (novembre 2009): 875–88. http://dx.doi.org/10.1016/j.neurol.2009.01.036.
Ben Cheikh, A., G. Gorincour, F. Dugougeat-Pilleul, S. Dupuis, T. Basset e J. P. Pracros. "Trichobézoard gastrique révélé par une anémie chez une adolescente : association échographie - imagerie par résonance magnétique (IRM)". Journal de Radiologie 85, n. 4 (aprile 2004): 411–13. http://dx.doi.org/10.1016/s0221-0363(04)97601-9.
Tesi sul tema "Imagerie par Résonnance Magnétique (IRM)":
Masi, Brice. "Identification de biomarqueurs de l'hépatopathie bilharzienne par imagerie de résonnance magnétique". Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0741/document.
The second parasitic disease in the world behind malaria, bilharzia or schistosomiasis remains a neglected tropical infectious disease. Schistosoma mansoni is the main cause of the digestive form of human schistosomiasis that can progress to a severe chronic pathology in 5 to 10% of infected individuals. Several years after infection, significant hepatic fibrosis develops around parasite eggs in the liver and intestinal wall. Fibrosis can lead to portal hypertension and gastroesophageal varices, the rupture of which is potentially lethal. This hepato-splenic complication of digestive schistosomiasis is often associated with hepatomegaly and splenomegaly. The standard technique for the diagnosis of liver fibrosis is biopsy. The classical non-invasive evaluation of liver fibrosis is done by ultrasound imaging using an international classification scale (Niamey scale). Echography allows the assessment of portal hypertension by measuring the diameter of the portal vein and enables the detection of portal varices. The aim of this work was to provide the first in vivo longitudinal MRI characterization of the murine model of digestive schistosomiasis obtained by infection of CBA/J mice with Schistosoma mansoni. The second objective was to develop a quantitative or semi-quantitative method to evaluate liver fibrosis in this model. Our anatomical and volumetric data show that the murine model of schistosomiasis shares several features with the human disease such as organomegaly, granulomatous inflammation, and portal vein involvement. We propose that T2 mapping could help detect and follow-up semi-quantitatively fibrosis-related schistosomiasis
Deviers, Alexandra. "Imagerie par résonnance magnétique multimodale, en particulier imagerie spectroscopique, du glioblastome : évaluation de facteurs prédictifs de réponse à la radiothérapie". Toulouse 3, 2014. http://www.theses.fr/2014TOU30057.
Glioblastoma (GBM), the most common primary brain tumor in adults, is associated with poor prognosis as local relapse occurs several months after chemo-radiotherapy (RT). New therapeutic strategies are coming to the fore, some of which propose to use imaging biomarkers in order to provide relevant prognostic information or identify pre-RT high relapse risk areas needing to be boosted. The aim of this work was to identify pre-RT MRI markers able to predict relapse location and survival in a cohort of 18 GBM patients included in a phase II clinical trial and treated with RT and Tipifarnib. Data from 3D 1H-Magnetic Resonance Spectroscopic Imaging (3D-MRSI) and diffusion MRI were analysed using a voxel-based spatial comparison of baseline (pre-RT) and relapse images. Three relevant metabolic indices were thus identified: Lactate/N-Acetyl-Aspartate (NAA)> 0. 4; Choline (Cho)/Creatine >1. 63 and Cho/NAA >1. 12. The spatial distribution of these MRSI biomarkers is significantly associated with the site of relapse; furthermore, the magnitude of these metabolic disturbances seems to be correlated with early relapse. These interesting results should be validated in a larger cohort of GBM patients currently included in a prospective phase III clinical trial. The various techniques implemented in this work shall be used in this new study, not only for the evaluation of MRSI and MR diffusion biomarkers, but also for the analysis of perfusion and tensor diffusion imaging
Cassol, Emmanuelle. "Evaluation de l'imagerie par résonnance magnétique de diffusion dans la sclérose en plaques". Toulouse 3, 2004. http://www.theses.fr/2004TOU30024.
Chauffert, Nicolas. "Echantillonnage compressé le long de trajectoires physiquement plausibles en IRM". Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112234/document.
Magnetic Resonance Imaging~(MRI) is a non-invasive and non-ionizing imaging technique that provides images of body tissues, using the contrast sensitivity coming from the magnetic parameters (T$_1$, T$_2$ and proton density). Data are acquired in the $k$-space, corresponding to spatial Fourier frequencies. Because of physical constraints, the displacement in the $k$-space is subject to kinematic constraints. Indeed, magnetic field gradients and their temporal derivative are upper bounded. Hence, the scanning time increases with the image resolution. Decreasing scanning time is crucial to improve patient comfort, decrease exam costs, limit the image distortions~(eg, created by the patient movement), or decrease temporal resolution in functionnal MRI. Reducing scanning time can be addressed by Compressed Sensing~(CS) theory. The latter is a technique that guarantees the perfect recovery of an image from undersampled data in $k$-space, by assuming that the image is sparse in a wavelet basis. Unfortunately, CS theory cannot be directly cast to the MRI setting. The reasons are: i) acquisition~(Fourier) and representation~(wavelets) bases are coherent and ii) sampling schemes obtained using CS theorems are composed of isolated measurements and cannot be realistically implemented by magnetic field gradients: the sampling is usually performed along continuous or more regular curves. However, heuristic application of CS in MRI has provided promising results. In this thesis, we aim to develop theoretical tools to apply CS to MRI and other modalities. On the one hand, we propose a variable density sampling theory to answer the first inpediment. The more the sample contains information, the more it is likely to be drawn. On the other hand, we propose sampling schemes and design sampling trajectories that fulfill acquisition constraints, while traversing the $k$-space with the sampling density advocated by the theory. The second point is complex and is thus addressed step by step. First, we propose continuous sampling schemes based on random walks and on travelling salesman~(TSP) problem. Then, we propose a projection algorithm onto the space of constraints that returns the closest feasible curve of an input curve~(eg, a TSP solution). Finally, we provide an algorithm to project a measure onto a set of measures carried by parameterizations. In particular, if this set is the one carried by admissible curves, the algorithm returns a curve which sampling density is close to the measure to project. This designs an admissible variable density sampler. The reconstruction results obtained in simulations using this strategy outperform existing acquisition trajectories~(spiral, radial) by about 3~dB. They permit to envision a future implementation on a real 7~T scanner soon, notably in the context of high resolution anatomical imaging
Angeletti, Mélodie. "Traitement de données multi-spectrales par calcul intensif et applications chez l'homme en imagerie par résonnance magnétique nucléaire". Thesis, Université Clermont Auvergne (2017-2020), 2019. http://www.theses.fr/2019CLFAC004/document.
As a non-invasive technology for studying brain imaging, functional magnetic resonance imaging (fMRI) has been employed to understand the brain underlying mechanisms of food intake. Using liquid stimuli to fake food intake adds difficulties which are not present in fMRI studies with visual stimuli. This PhD thesis aims to propose a robust method to analyse food stimulated fMRI data. To correct the data from swallowing movements, we have proposed to censure the data uniquely from the measured signal. We have also improved the normalization step of data between subjects to reduce signal loss.The main contribution of this thesis is the implementation of Ward's algorithm without data reduction. Thus, clustering the whole brain in several hours is now feasible. Because Euclidean distance computation is the main part of Ward algorithm, we have developed a cache-aware algorithm to compute the distance between each pair of voxels. Then, we have parallelized this algorithm for three architectures: shared-memory architecture, distributed memory architecture and NVIDIA GPGPU. Once Ward's algorithm has been applied, it is possible to explore multi-scale clustering of data. Several criteria are considered in order to evaluate the quality of clusters. For a given number of clusters, we have proposed to compute connectivity maps between clusters or to compute Pearson correlation coefficient to identify brain regions activated by the stimulation
Chahid, Bochra. "Développement et caractérisation de nouveaux agents de contraste lipidiques ultrasensibles pour l'imagerie par résonnance magnétique destinés à l'imagerie moléculaire". Thesis, Paris 11, 2012. http://www.theses.fr/2012PA114867/document.
The effect of paramagnetic compounds in the chemical shift of endogenous protons, i.e., their resonance frequency, widely used in conventional NMR, can also be a tool to modulate the contrast in magnetic resonance imaging (MRI) by achieving frequency-encoded images depending on the nature or the environment of the entity or tissue to be revealed. This approach involves the transfer of magnetization by chemical exchange of protons also referred to as "Chemical Exchange Saturation Transfer" (CEST). The principle consists in selectively saturate by applying a radio frequency pulse, the signal of labile protons transiently belonging to the structure of the contrast agent or to the water molecules which are associated transiently to it. The image then results from the alteration of the signal of the exchanged protons. The method is based on the actual existence of two sets of protons or pools with two distinct resonance frequencies, one corresponding to the protons associated with the contrast agent and the other represented by the surrounding bulk water.LipoCEST systems, liposomes encapsulating a paramagnetic lanthanide complex, allows such a differentiation of two proton pools constituted on one hand by the water molecules contained in the inner cavity of the liposomes (with a resonance frequency changed by the paramagnetic agent ) and on the other hand by the water present outside the vesicle structure. The sensitivity of such systems is mainly due to the large number of protons in the inner pool. The nature of the paramagnetic agent plays a role in the selectivity of the CEST effect while the nature of the liposome membrane and related permeability behavior controls the proton exchange kinetics between the two water pools. These two parameters must be selected and adjusted to provide effective CEST contrast.The work in this thesis aimed at such a development by optimizing liposome systems for MRI-CEST after intravenous administration. Therefore, the diameter of the liposomes was set below 200 nm and their surface covered by chains of poly (ethylene glycol) to ensure stability in the blood compartment. The choice of chemical shift agents based on lanthanide complexes, mainly thulium-based derivatives, was established from their structural and magnetic properties. The methodology specially developed to encapsulate these entities into vesicles of different membrane composition and permeability to water allowed to generate a new LipoCEST contrast agent
Ozon, Matthew. "Tractographie cardiaque optimale par IRM du tenseur de diffusion". Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI020/document.
This thesis "Optimal cardiac tractography using DT-MRI" offers and studies a new formulation of cardiac tractography based on the use of diffusion tensor images that synthetize the information of the diffusion weighted images. The underlying reasons that led to a new formulation are manifold. Existing methods are mostly based on local data, such as the streamlining algorithms, and thus are subject to many imperfections, especially they are not robust to noise in the data. Another problem with this type of approach based on solving differential equations is their dependency on initialization, unlike the method under study. The other aim of this thesis is to determine one or more numerical criteria to compare and qualify fibers. Even though it seems easy to qualitatively characterize fibers based on the visualization, creating measures to characterize the fibers, either in absolute or in comparison to the data or other fibers, is actually challenging
Yang, Feng. "Interpolation des données en imagerie cardiaque par résonance magnétique du tenseur de diffusion". Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00578777.
Gros, Hélène. "Mise au point et validation d'un paradigme expérimental en imagerie fonctionnelle événementielle par résonnance magnétique : application au traitement perceptif visuel de stimuli linguistiques". Toulouse 3, 2002. http://www.theses.fr/2002TOU30060.
We propose an experimental design based on a priming paradigm with single visual stimuli to study the role of extrastriate cortex in the perceptual processing of simple linguistic stimuli. We used two sets of stimuli, a linguistic one that consisted of single letters, and a non-linguistic one that consisted of familiar geometric figures; in addition, the ambiguous stimulus "O", which could be categorized either as a letter or as a familiar geometric figure, was primed by both categorical sets. A first study was conducted with an event-related fMRI protocol. The group analysis and the individual analysis on both the extend and intensity of activations showed that the left occipito-temporal cortex was specifically involved in grapheme processing. .
Zhou, Yitian. "Quantification du mouvement et de la déformation cardiaques à partir d'IRM marquée tridimensionnelle sur des données acquises par des imageurs Philips". Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI058/document.
Cardiovascular disease is one of the major causes of death worldwide. A number of heart diseases can be diagnosed through the analysis of cardiac images after quantifying shape and function. However, the application of these deformation quantification algorithms in clinical routine is somewhat held back by the lack of a solid validation. In this thesis, we mainly introduce a fast 3D tagged MR quantification algorithm, as well as a novel pipeline for generating synthetic cardiac US and MR image sequences for validation purposes. The main contributions are described below. First, we proposed a novel 3D extension of the well-known harmonic phase tracking method. The point-wise phase-based optical flow tracking was combined with an anatomical regularization model in order to estimate anatomically coherent myocardial motions. In particular, special efforts were made to ensure a reasonable radial strain estimation by enforcing myocardial incompressibility through the divergence theorem. The proposed HarpAR algorithm was evaluated on both healthy volunteers and patients having different levels of ischemia. On volunteer data, the tracking accuracy was found to be as accurate as the best candidates of a recent benchmark. On patient data, strain dispersion was shown to correlate with the extent of transmural fibrosis. Besides, the ischemic segments were distinguished from healthy ones from the strain curves. Second, we proposed a simulation pipeline for generating realistic synthetic cardiac US, cine and tagged MR sequences from the same virtual subject. Template sequences, a state-of-the-art electro-mechanical (E/M) model and physical simulators were combined in a unified framework for generating image data. In total, we simulated 18 virtual patients (3 healthy, 3 dyssynchrony and 12 ischemia), each with synthetic sequences of 3D cine MR, US and tagged MR. The synthetic images were assessed both qualitatively and quantitatively. They showed realistic image textures similar to real acquisitions. Besides, both the ejection fraction and regional strain values are in agreement with reference values published in the literature. Finally, we showed a preliminary benchmarking study using the synthetic database. We performed a comparison between gHarpAR and another tracking algorithm SparseDemons using the virtual patients. The results showed that SparseDemons outperformed gHarpAR in processing cine MR and US images. Regarding tagged MR, both methods obtained similar accuracies on motion and two strain components (circumferential and longitudinal). However, gHarpAR quantified radial strains more accurately, thanks to the myocardial incompressibility constraint. We conclude that motion quantification solutions can be improved by designing them according to the image characteristics of the modality and that a solid evaluation framework can be a key asset in comparing different algorithmic options
Libri sul tema "Imagerie par Résonnance Magnétique (IRM)":
Dominique, Doyon, a cura di. IRM, imagerie par résonance magnétique. 4a ed. Paris: Masson, 2004.
D, Doyon, a cura di. IRM: Imagerie par résonance magnétique. 4a ed. Paris: Masson, 2001.
Olivier, Vigneaux, a cura di. Imagerie cardiaque: Scanner et IRM. Issy-les-Moulineaux: Masson, 2005.
Vlaardingerbroek, Marinus T. Magnetic resonance imaging: Theory and practice. 3a ed. Berlin: Springer, 2003.
Vlaardingerbroek, Marinus T. Magnetic resonance imaging: Theory and practice. 2a ed. Berlin: Springer, 1999.
Vlaardingerbroek, Marinus T. Magnetic resonance imaging: Theory and practice. Berlin: Springer, 1996.
IRM : Imagerie par résonance magnétique. Editions Masson, 2001.
IRM ostéo-articulaire et musculaire. 2a ed. Paris: Masson, 2003.
Gerhardt, Paul, e Walter Frommhold. Atlas de corrélations anatomiques en TDM et IRM. Flammarion médecine-sciences, 1992.
Vlaardingerbroek, Marinus T., Jacques A. den Boer e Jaques A. den Boer. Magnetic Resonance Imaging. 3a ed. Springer, 2004.
Capitoli di libri sul tema "Imagerie par Résonnance Magnétique (IRM)":
"Imagerie par résonance magnétique (IRM)". In Méga Guide STAGES IFSI, 1110–11. Elsevier, 2015. http://dx.doi.org/10.1016/b978-2-294-74529-4.00346-3.
Alexandre, J., A. Balian, L. Bensoussan, A. Chaïb, G. Gridel, K. Kinugawa, F. Lamazou et al. "Imagerie par résonance magnétique (IRM)". In Le tout en un révisions IFSI, 1010–11. Elsevier, 2009. http://dx.doi.org/10.1016/b978-2-294-70633-2.50338-3.
Hallouët, Pascal. "Imagerie par résonance magnétique (IRM)". In Mémo-guide infirmier, 451. Elsevier, 2010. http://dx.doi.org/10.1016/b978-2-294-71154-1.50094-9.
Hallouët, Pascal. "Imagerie par résonance magnétique (IRM)". In Méga Mémo IFSI, 334–35. Elsevier, 2016. http://dx.doi.org/10.1016/b978-2-294-74924-7.50044-0.
BEUF, Olivier, Philippe GARTEISER, Kevin TSE VE KOON e Jonathan VAPPOU. "Imagerie quantitative biomécanique par élastographie par résonance magnétique". In Les enjeux de l’IRM, 177–207. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9113.ch7.
"Chapitre 7 – Imagerie par Résonance Magnétique (IRM)". In Applications magnétoélectriques des supraconducteurs, 151–72. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2221-8-012.
"Chapitre 7 – Imagerie par Résonance Magnétique (IRM)". In Applications magnétoélectriques des supraconducteurs, 151–72. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2221-8.c012.
GAMBAROTA, Giulio. "Les bases de la diffusion et l’IRM Intravoxel Incoherent Motion". In Les enjeux de l’IRM, 83–108. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9113.ch4.