Tesi sul tema "MRI methods"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 saggi (tesi di laurea o di dottorato) per l'attività di ricerca sul tema "MRI methods".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi le tesi di molte aree scientifiche e compila una bibliografia corretta.
Mougin, Olivier. "Quantitative methods in high field MRI". Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11608/.
Morra, Jonathan Harold. "Learning methods for brain MRI segmentation". Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1905693471&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Groves, Adrian R. "Bayesian learning methods for modelling functional MRI". Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:fe46e696-a1a6-4a9d-9dfe-861b05b1ed33.
Ivarsson, Magnus. "Evaluation of 3D MRI Image Registration Methods". Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139075.
Malik, Shaihan. "Data Driven Reconstruction Methods for Dynamic Undersampled MRI". Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486758.
Niazy, Rami. "Simultaneous electroencephalography and functional MRI : methods and applications". Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.483692.
Rababa`h, Qasim. "Perfusion MRI of gliomas - comparison of analysis methods". Thesis, Örebro universitet, Institutionen för hälsovetenskap och medicin, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-37302.
Pietsch, Maximilian Rainer. "Advanced diffusion MRI analysis methods for neonatal imaging". Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/advanced-diffusion-mri-analysis-methods-for-neonatal-imaging(3d1a8dc2-070c-4651-9a42-5171d6ebbab1).html.
Sawiak, Stephen John. "Computational methods for mouse brain phenotyping using MRI". Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611550.
Campbell-Washburn, A. E. "Development of MRI methods for experimental disease models". Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1378548/.
Segerdahl, Tony. "MRI Safety, Test Methods and Construction of a Database". Thesis, Stockholm University, Medical Radiation Physics (together with KI), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-6968.
Magnetic Resonance Imaging, MRI, is a diagnostic tool in progress which has been available at major hospitals since the mid eighties. Today almost all hospitals world wide may depict the human body with their own MRI scanner. MRI is dependent on a uniform magnetic field inside the scanner tunnel and Radio frequent (RF) waves used for excitation of the magnetic dipole moments in the body. These properties along with the magnetic field surrounding the scanner are associated with dangerous effects - when interacting with medical implants made of metals. These dangerous effects are twisting forces or torques, heating and translational forces respectively. A database containing information about known implants behaviour regarding these effects among with earlier documentation and information concerning MRI patient safety at Karolinska hospital, Huddinge was constructed.
Also a phantom used for heating effect measurements was constructed and heating effect measurements were performed at a SPC4129 locking titanium Peritoneal Dialysis (PD) catheter adapter and a Deep Brain Stimulator (DBS) in order to test the phantom and confirm the theory about RF induced heating on medical implants. Evidence for heating effects caused by the implants was found.
A torque measurement apparatus was constructed and measurements were performed. All measurements where performed in order to investigate the functionality of the apparatus and also the theory behind dangerous magnetically induced torques (twisting movements). Substantial torque were measured on the ferromagnetic device used for the test.
The heating phantom and torque measurement apparatus is slightly modified models of those proposed by ASTM (American Society for Testing and Materials).
Payne, Nicholas Roy. "Quadrupolar relaxation-based methods in fast field-cycling MRI". Thesis, University of Aberdeen, 2019. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=240235.
Malone, Ian Brian. "Registration based methods for MRI derived PET attenuation correction". Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612407.
Lenglet, Christophe. "Geometric and variational methods for diffusion tensor MRI processing". Nice, 2006. http://www.theses.fr/2006NICE4083.
This thesis deals with the development of new processing tools for Diffusion Tensor Magnetic Resonance Imaging (DT-MRI). This recent MRI technique is of utmost importance to acquire a better understanding of the brain mechanisms and to improve the diagnosis of neurological disorders. We introduce new algorithms relying on Riemannian geometry, partial differential equations and front propagation techniques. The first part of this work is theoretical. After a few reminders about the human nervous system, MRI and differential geometry, we study the space of multivariate normal distributions. The introduction of a Riemannian structure on that space allows us to define statistics and intrinsic numerical schemes that will constitute the core of the algorithms proposed in the second part. The properties of that space are important for DT-MRI since diffusion tensors are the covariance matrices of normal laws modeling the diffusion of water molecules at each voxel of the acquired volume. The second part of this thesis is methodological. We start with the introduction of original approaches for the estimation and regularization of DT-MRI. We then show how to evaluate the degree of connectivity between cortical areas. Next, we introduce a statistical surface evolution framework for the segmentation of those images. Finally, we propose a non-rigid registration method. The last part of this thesis is dedicated to the application of our tools to two important neuroscience problems: the analysis of the connections between the cerebral cortex and the basal ganglia, implicated in motor tasks, and the study of the anatomo-functional network of the human visual cortex
Buchanan, Colin Richard. "Structural brain networks from diffusion MRI : methods and application". Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/14183.
Suever, Jonathan D. "MRI methods for predicting response to cardiac resynchronization therapy". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50224.
Cui, Chen. "MRI fat-water separation using graph search based methods". Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5740.
Saleh, Muhammad G. "Methods and adaptations required to perform small-animal MRI scanning using a large bore clinical MRI". Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/22098.
Poggiali, Davide. "Postprocessing Neuroimaging methods in MRI and PET/MRI with applications to Multiple Sclerosis and other Neurological diseases". Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3421919.
Negli ultimi 40 anni sono stati sviluppati diversi strumenti di imaging non-invasivi, in modo da ottenere immagini dell'interno del corpo umano mentre il paziente è ancora in vita. Nel contesto neurologico, sistemi di imaging come TAC, RM, SPECT e PET permettono di ottenere biomarcatori utili a distinguere quantitativamente soggetti sani da pazienti con malattie neurologiche, valutare lo stato di avanzamento di una malattia in un paziente, valutare l'efficacia di un trattamento, esplorare le cause della malattia. Nel presente lavoro si presentano i sistemi di acquisione di immagini RM e PET fin dalle fondamenta, partendo dai metodi di ricostruzione dell'immagine dai dati grezzi, allo stato dell'arte dei metodi di post-processing, fino al calcolo dei biomarcatori più diffusi. Dopo tale introduzione saranno presentati tre lavori originali di imaging PET/MRI, con una particolare attenzione ai metodi. Questi tre lavori riguardano pazienti con Sclerosi Multipla, Morbo di Alzheimer e Tumori Cerebrali.
Callaghan, Martina. "PadeÌ methods for image reconstruction and feature extraction in MRI". Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416865.
Mills, Parker H. "Computational Methods for Enhancing Sensitivity to MRI Cell-Tracking Agents". Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/67.
Azeredo, Gomes Teixeira Rui Pedro. "Optimized variable flip angle methods for single pool MRI relaxometry". Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/optimized-variable-flip-angle-methods-for-single-pool-mri-relaxometry(f9a620f9-d722-482b-ae07-78a80f783eac).html.
Wu, Wenchuan. "Acquisition and reconstruction methods for hybrid 2D/3D diffusion MRI". Thesis, University of Oxford, 2018. http://ora.ox.ac.uk/objects/uuid:b6de8931-3910-4342-acdb-4eac49263b2c.
Padormo, Francesco. "Advanced methods for mapping the radiofrequency magnetic fields in MRI". Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/14630.
Ahluwalia, Vishwadeep. "Optimization of Functional MRI methods for olfactory interventional studies at 3T". VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1953.
Huang, Chuan. "Novel Methods for T2 Estimation Using Highly Undersampled Radial MRI Data". Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/203531.
Silvestri, Erica. "Simultaneous PET/MRI for Connectivity Mapping: Quantitative Methods in Clinical Setting". Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426715.
Yang, Zheyi. "Numerical methods to estimate brain micro-structure from diffusion MRI data". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAE016.
Diffusion magnetic resonance imaging (diffusion MRI) is a widely used non-invasive imaging modality to probe the micro-structural properties of biological tissues below the spatial resolution, by indirectly measuring the diffusion displacement of water molecules. Due to the geometrical complexity of the brain and intricate diffusion MRI mechanism, it is challenging to directly link the received signals to meaningful biophysical parameters, such as axon radii or volume fraction.In recent years, several biophysical models have been introduced to address the issue of weak interpretability. These models represent the diffusion MRI signals as a mixture of analytical signals under certain assumptions, e.g. impermeable membranes, of various disconnected simple geometries, such as spheres and sticks. Subsequently, they aim to extract the parameters of these geometries, which correlate with biophysical parameters, by inverting the analytical expression.However, the validity of these assumptions remains undetermined in actual experiments.The objective of this thesis is to improve the microstructure estimation reliability and efficiency from two perspectives. First, to facilitate the quantitative study of the valid range of biophysical models and the effect of geometrical deformation and cell membrane permeability via simulation, we proposed two reduced models derived from the Bloch-Torrey equation, respectively. For the case of the presence of permeable membranes, a new simulation approach using impermeable Laplace eigenbasis is proposed. As for the geometrical deformation, we use an asymptotic expansion with respect to the deformation angles to approximate the signal. These two reduced models enable efficient computation of signals for various values of deformation/permeability. Numerical simulations reveal that these two models can fast compute the signals within a reasonable error level compared to existing methods. Several studies have been conducted about the effects of permeability and deformation on the signals or the apparent diffusion coefficient (ADC), using the proposed models.Second, instead of inverting a simplified geometries model, we present a novel approach to associate soma size in gray matter by intermediary biomarkers. Numerical simulations identify a correlation between the volume-weighted soma radius/volume fraction and the inflection point of direction-averaged signals at high b-values (b>2500s/mm^2), offering insights for microstructure estimation. We fit a fully connected neural network using these biomarkers and compared to biophysical models, this approach offers comparable results on both synthetic and in vivo data and fast estimation since no inversion is involved
Merola, Alberto. "Development of MRI methods to map cerebral metabolic oxygen consumption in humans". Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/91542/.
Chao, Hui Ph D. Massachusetts Institute of Technology. "Multi-echo methods for fast MRI and MRS of ³¹P containing compounds". Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43335.
Schwarz, Jolanda M. [Verfasser]. "Advanced Image Reconstruction Methods for Ultra-High Field MRI / Jolanda M. Schwarz". Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1218474947/34.
Mott, Lisa. "Efficient statistical methods for inference and model selection in diffusion-weighted MRI models". Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/31173/.
Denolin, Vincent. "Sources of contrast and acquisition methods in functional MRI of the human brain". Doctoral thesis, Universite Libre de Bruxelles, 2002. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211408.
L'Imagerie fonctionnelle par Résonance Magnétique (IRMf) a connu un développement important depuis sa découverte au début des années 1990. Basée le plus souvent sur l'effet BOLD (Blood Oxygenation Level Dependent), cette technique permet d'obtenir de façon totalement non-invasive des cartes d'activation cérébrale, avec de meilleures résolutions spatiale et temporelle que les méthodes préexistantes telles que la tomographie par émission de positrons (TEP). Facilement praticable au moyen des imageurs par RMN disponible dans les hôpitaux, elle a mené à de nombreuses applications dans le domaine des neurosciences et de l'étude des pathologies cérébrales.
Il est maintenant bien établi que l'effet BOLD est dû à une augmentation de l'oxygénation du sang veineux dans les régions du cerveau où se produit l'activation neuronale, impliquant une diminution de la différence de susceptibilité magnétique entre le sang et les tissus environnants (la déoxyhémoglobine étant paramagnétique et l'oxyhémoglobine diamagnétique), et par conséquent un augmentation du signal si la méthode d'acquisition est sensible aux inhomogénéités de champ magnétique. Cependant, il reste encore de nombreuses inconnues quant aux mécanismes liant les variations d'oxygénation, de flux et de volume sanguin à l'augmentation de signal observée, et la dépendance du phénomène en des paramètres tels que l'intensité du champ, la résolution spatiale, et le type de séquence de RMN utilisée. La première partie de la thèse est donc consacrée à l'étude de l'effet BOLD, dans le cas particulier des contributions dues aux veines de drainage dans les séquences de type écho de gradient rendues sensibles au mouvement par l'ajout de gradients de champ. Le modèle développé montre que, contrairement au comportement suggéré par de précédentes publications, l'effet de ces gradients n'est pas une diminution monotone de la différence de signal lorsque l'intensité des gradients augmente. D'importantes oscillations sont produites par l'effet de phase dû au déplacement des spins du sang dans les gradients additionnels, et par la variation de cette phase suite à l'augmentation du flux sanguin. La validation expérimentale du modèle est réalisée au moyen de la séquence PRESTO (Principles of Echo-Shifting combined with a Train of Observations), c'est-à-dire une séquence en écho de gradient où des gradients supplémentaires permettent d'augmenter la sensibilité aux inhomogénéités de champ, et donc à l'effet BOLD. Un accord qualitatif avec la théorie est établi en montrant que la variation de signal observée peut augmenter lorsqu'on intensifie les gradients additionnels.
Un autre source de débat continuel dans le domaine de l'IRMf réside dans l'optimalisation des méthodes d'acquisition, au point de vue notamment de leur sensibilité à l'effet BOLD, leurs résolutions spatiale et temporelle, leur sensibilité à divers artefacts tels que la perte de signal dans les zones présentant des inhomogénéités de champ à grande échelle, et la contamination des cartes d'activation par les contributions des grosses veines, qui peuvent être distantes du lieu d'activation réel. Les séquences en écho de spin sont connues pour être moins sensibles à ces deux derniers problèmes, c'est pourquoi la deuxième partie de la thèse est consacrée à une nouvelle technique permettant de donner une pondération T2 plutôt que T2* aux images. Le principe de base de la méthode n'est pas neuf, puisqu'il s'agit de la « Préparation T2 » (T2prep), qui consiste à atténuer l'aimantation longitudinale différemment selon la valeur du temps de relaxation T2, mais il n’avait jamais été appliqué à l’IRMf. Ses avantages par rapport à d’autres méthodes hybrides T2 et T2* sont principalement le gain en résolution temporelle et en dissipation d’énergie électromagnétique dans les tissus. Le contraste généré par ces séquences est étudié au moyen de solutions stationnaires des équations de Bloch. Des prédictions sont faites quant au contraste BOLD, sur base de ces solutions stationnaires et d’une description simplifiée de l’effet BOLD en termes de variations de T2 et T2*. Une méthode est proposée pour rendre le signal constant au travers du train d’impulsions en faisant varier l’angle de bascule d’une impulsion à l’autre, ce qui permet de diminuer le flou dans les images. Des expériences in vitro montrent un accord quantitatif excellent avec les prédictions théoriques quant à l’intensité des signaux mesurés, aussi bien dans le cas de l’angle constant que pour la série d’angles variables. Des expériences d’activation du cortex visuel démontrent la faisabilité de l’IRMf au moyen de séquences T2prep, et confirment les prédictions théoriques quant à la variation de signal causée par l’activation.
La troisième partie de la thèse constitue la suite logique des deux premières, puisqu’elle est consacrée à une extension du principe de déplacement d’écho (echo-shifting) aux séquences en écho de spin à l’état stationnaire, ce qui permet d’obtenir une pondération T2 et T2* importante tout en maintenant un temps de répétition court, et donc une bonne résolution temporelle. Une analyse théorique approfondie de la formation du signal dans de telles séquences est présentée. Elle est basée en partie sur la technique de résolution des équations de Bloch utilisée dans la deuxième partie, qui consiste à calculer l’aimantation d’état stationnaire en fonction des angles de précession dans le plan transverse, puis à intégrer sur les isochromats pour obtenir le signal résultant d’un voxel (volume element). Le problème est aussi envisagé sous l’angle des « trajectoires de cohérence », c’est-à-dire la subdivision du signal en composantes plus ou moins déphasées, par l’effet combiné des impulsions RF, des gradients appliqués et des inhomogénéités du champ magnétique principal. Cette approche permet d’interpréter l’intensité du signal dans les séquences à écho déplacé comme le résultat d’interférences destructives entre diverses composantes physiquement interprétables. Elle permet de comprendre comment la variation de la phase de l’impulsion d’excitation (RF-spoiling) élimine ces interférences. Des expériences in vitro montrent un accord quantitatif excellent avec les calculs théoriques, et la faisabilité de la méthode in vivo est établie. Il n’est pas encore possible de conclure quant à l’applicabilité de la nouvelle méthode dans le cadre de l’IRMf, mais l’approche théorique proposée a en tout cas permis de revoir en profondeur les mécanismes de formation du signal pour l’ensemble des méthodes à écho déplacé, puisque le cas de l’écho de gradient s’avère complètement similaire au cas de l’écho de spin.
La thèse évolue donc progressivement de la modélisation de l’effet BOLD vers la conception de séquences, permettant ainsi d’aborder deux aspects fondamentaux de la physique de l’IRMf.
Doctorat en sciences appliquées
info:eu-repo/semantics/nonPublished
Kwan, Remi K.-S. "An extensible MRI simulator for quantitative evaluation of image-processing and classification methods". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0003/MQ44019.pdf.
Kwan, Remi K. S. "An extensible MRI simulator for quantitative evaluation of image-processing and classification methods /". Thesis, McGill University, 1997. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=20210.
This thesis describes an extensible MRI simulator that efficiently generates realistic 3D images of human brain anatomy, using a 3D brain phantom with known anatomical structures and tissue properties. An object-oriented design is presented that allows simulator models to be adapted to specific studies. Models for discrete-event Bloch equation simulation of Nuclear Magnetic Resonance (NMR) signal production, scan parameter dependent noise, and partial volume are given.
The simulator is validated using doped-gelatin phantom experiments, and its application to common medical imaging tasks, such as, image registration, classification, nonuniform intensity correction, and fMRI analysis is shown.
Morgado, Correia Marta. "Development of methods for the acquisition and analysis of diffusion weighted MRI data". Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611789.
Warnert, Esther. "Development and application of perfusion MRI methods : innovating the measurement of cerebrovascular physiology". Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/70026/.
Veronese, Elisa. "Methods for segmentation and characterization of multiple sclerosis cortical lesions from MRI data". Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422439.
Questa tesi tratta l’analisi automatica di immagini di risonanza magnetica cerebrale in soggetti affetti da sclerosi multipla. In particolare, l’analisi è volta sia a una stima quantitativa del carico di lesioni corticali presenti a causa del decorso della malattia, sia a una caratterizzazione del tipo di lesioni presenti basata sul loro grado di infiammazione. La sclerosi multipla è una malattia infiammatoria a decorso cronico che colpisce il sistema nervoso centrale, provocandone una progressiva distruzione della mielina in più aree. Per frequenza, nel giovane adulto è la seconda malattia neurologica e la prima di tipo infiammatorio cronico. Inoltre, la sclerosi multipla può essere considerata anche come malattia sociale, con un’elevata ricaduta economica, sia diretta che indiretta: la diminuzione o la perdita dell’autonomia porta alla progressiva impossibilità di svolgere una qualsiasi attività lavorativa fino all’incapacità di condurre una vita indipendente. A questo si aggiungano il costo delle cure e dell’assistenza necessarie. Benché le cause siano ancora in parte sconosciute, molto è stato fatto nel chiarire le diverse fasi del processo infiammatorio che caratterizza tale patologia, permettendo così di arrivare a una diagnosi e a un trattamento precoce che consentono di ridurre gli effetti della malattia. Le lesioni causate dalla sclerosi multipla risultano visibili grazie a particolari tecniche di acquisizione di immagini basate sulla risonanza magnetica. In particolare negli ultimi decenni si sono studiate e messe a punto diverse sequenze di risonanza ottimizzate per la visualizzazione delle lesioni in materia bianca. Il quadro delle tecniche a disposizione qualora si vogliano studiare lesioni in materia grigia risulta invece meno completo, soprattutto a causa del fatto che la scoperta di un coinvolgimento della materia grigia nella malattia è molto più recente. La verifica dell’evoluzione e della comparsa di nuove lesioni è importante dal momento che consente di monitorare il progredire di una malattia caratterizzata da fasi acute intervallate a periodi di quiescenza più o meno lunghi. Per questo motivo i soggetti affetti da sclerosi multipla vengono periodicamente sottoposti a esami di risonanza magnetica. Ogni successiva valutazione da parte del medico neurologo dipenderà da quanto evidenziato dalle immagini acquisite. In questo senso è fondamentale che il medico sia ben allenato nella valutazione di immagini di risonanza, e che ponga particolare attenzione non solo nell’individuare la comparsa di nuove lesioni, ma anche nel riconoscere la presenza di lesioni già presenti in esami precedenti, che possono essere progredite nella forma, nelle dimensioni e nel grado di attività. La lettura di un esame di risonanza magnetica richiede tempo e attenzione, ed è inevitabilmente soggetta all’errore umano che caratterizza qualsiasi valutazione manuale. Per questo, benché sia impensabile prescindere dalla valutazione del medico, una tecnica di analisi automatica di immagini di risonanza magnetica cerebrale che sia in grado di evidenziare la presenza di lesioni da sclerosi multipla può rappresentare un valido aiuto alla refertazione, sia in termini di tempo che di accuratezza. In questa tesi si descriveranno le tecniche di risonanza magnetica a disposizione per una miglior visualizzazione delle lesioni corticali. Su queste si procederà alla segmentazione del tessuto di interesse, ossia del volume di materia grigia. In seguito verrà descritta la tecnica proposta per il riconoscimento delle regioni patologiche corticali. Infine sarà descritto un primo tentativo di caratterizzazione delle diverse lesioni corticali, basato sulla valutazione del grado di attività di ciascuna lesione.
Randtke, Edward Alexander. "Development and Evaluation of Exchange Rate Measurement Methods". Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/314652.
Schwaderlapp, Niels Leonard [Verfasser], e J. G. [Akademischer Betreuer] Korvink. "Preclinical MRI in Neurological Diseases - Development of MRI Methods for Non-Invasive Investigation of Experimental Epilepsy / Niels Leonard Schwaderlapp ; Betreuer: J. G. Korvink". Karlsruhe : KIT-Bibliothek, 2020. http://d-nb.info/1205001972/34.
Dickie, David Alexander. "Methods to assess changes in human brain structure across the lifecourse". Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/10027.
Zhao, Nan. "Accelerated T1 and T2 Parameter Mapping and Data Denoising Methods for 3D Quantitative MRI". University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613748540796138.
Clark, Daniel James. "Chemical Exchange Saturation Transfer and Quantitative MRI Methods: Applications for Osteoarthritis and Cartilage Injury". The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1431016691.
Stecker, Ian. "Optimizing Quantitative Methods in Murine Pulmonary Imaging with UTE 1H MR". University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592135581719325.
Andersson, Jonathan. "Methods for automatic analysis of glucose uptake in adipose tissue using quantitative PET/MRI data". Thesis, Uppsala universitet, Enheten för radiologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-233200.
Neto, Henriques Rafael. "Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain". Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/281993.
Cheng, Wei-Hung. "MRI-Based Images Segmentation for GPU Accelerated Fuzzy Methods on Graphics Processing Units by CUDA". Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent154349822159698.
Berman, Benjamin Paul. "Accelerated Radial Magnetic Resonance Imaging: New Applications and Methods". Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/594390.
Kale, Hikmet Emre. "Segmentation Of Human Facial Muscles On Ct And Mri Data Using Level Set And Bayesian Methods". Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613352/index.pdf.
Kofler, Andreas [Verfasser]. "Deep learning-based methods for image reconstruction in cardiac CT and cardiac cine MRI / Andreas Kofler". Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2021. http://d-nb.info/1241541132/34.