Дисертації з теми "Magnetic Resonance Imaging data"
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Acosta, Mena Dionisio M. "Statistical classification of magnetic resonance imaging data." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390913.
Повний текст джерелаRydell, Joakim. "Advanced MRI Data Processing." Doctoral thesis, Linköping : Department of Biomedical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10038.
Повний текст джерелаHotrakool, Wattanit. "Compressed sensing for functional magnetic resonance imaging data." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/15704/.
Повний текст джерелаWu, Bing. "Exploiting data sparsity in parallel magnetic resonance imaging." Thesis, University of Canterbury. Electrical and Computer Engineering, 2010. http://hdl.handle.net/10092/3914.
Повний текст джерелаMaas, Luis C. (Luis Carlos). "Processing strategies for functional magnetic resonance imaging data sets." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/85262.
Повний текст джерелаIncludes bibliographical references (leaves 108-118).
by Luis Carlos Maas, III.
Ph.D.
Bernier, Jessica Ashley. "A RECONSTRUCTION PROGRAM FOR RADIAL MAGNETIC RESONANCE IMAGING DATA." Thesis, The University of Arizona, 2009. http://hdl.handle.net/10150/192289.
Повний текст джерелаHamilton, Lei Hou. "Reduced-data magnetic resonance imaging reconstruction methods: constraints and solutions." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42707.
Повний текст джерелаLin, Qihua. "Bayesian hierarchial spatiotemporal modeling of functional magnetic resonance imaging data." Ann Arbor, Mich. : ProQuest, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3245023.
Повний текст джерелаTitle from PDF title page (viewed Mar. 18, 2008). Source: Dissertation Abstracts International, Volume: 67-12, Section: B, page: 7154. Adviser: Richard F. Gunst. Includes bibliographical references.
Takahashi, Atsushi M. (Atsushi Mark). "Rapid data acquisition and selective excitation in magnetic resonance imaging." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28930.
Повний текст джерелаA simple hardware modification to decrease the minimum achievable echo-time of our MRI scanner was designed, built, programmed and tested and was found to improve the quality of inflow angiograms significantly. Further improvements were demonstrated with the use of on-resonance (binomial) magnetization transfer saturation contrast enhancement pulses.
A method for measuring the k-space trajectories of gradient waveforms was adopted, modified, validated and used to measure the k-space trajectories of gradient waveforms used for selective excitation and spiral image acquisition. Distortion was observed even when gradient waveforms were designed within specifications of the manufacturer.
The literature reports the application of the k-space model, usually associated with image acquisition, to the design of multidimensional selective excitation pulses. This thesis demonstrates theoretically and experimentally the modification of the design procedure to compensate RF envelopes for distortion of the k-space trajectories of the accompanying gradient waveforms by using measured k-space data.
The correction of spiral image reconstruction algorithms to compensate for k-space trajectory distortion was also demonstrated theoretically and experimentally.
Bell, William L. Jr. "Three-Dimensional Segmentation and Visualization of Magnetic Resonance Imaging Data." UNF Digital Commons, 1996. http://digitalcommons.unf.edu/etd/28.
Повний текст джерелаFriman, Ola. "Adaptive analysis of functional MRI data /." Linköping : Univ, 2003. http://www.bibl.liu.se/liupubl/disp/disp2003/tek836s.pdf.
Повний текст джерелаDiaz, De Grenu Ballestero Lara Zurine. "Optimisation of MRI data for dementia studies." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648904.
Повний текст джерелаDerbyshire, John Andrew. "Echo-planar anemometry using conventional magnetic resonance imaging hardware." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364590.
Повний текст джерелаHellström, Karlsson Rebecca, and Tobias Peterson. "Extracting Cardiac and Respiratory Self-Gating Signals from Magnetic Resonance Imaging Data." Thesis, KTH, Skolan för teknik och hälsa (STH), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171570.
Повний текст джерелаRörelseartefakter på grund av hjärt- och respirationsrörelser är idag vardagliga utmaningar inom magnetresonanstomografi (MR) av hjärtat, och många olika metoder används för att eliminera rörelseartefakterna. Patienterna behöver dessutom hålla andan under delar av dataupptagningen, vilket är fysiskt ansträngande – speciellt när det sker upprepade gånger. Self-Gating (SG) är en metod som extraherar information hjärt- och respirationsrytm från MR-datan i form av signaler, kallade SG signaler, och använder dem för att dela in datan i de specifika hjärt- respektive respirationsfaser som var när datan upptogs. Denna metod både undviker rörelseartefakter och tillåter fri andning under dataupptagningen. Målet med det här projektet var att hitta en metod för att extrahera SG signaler för hjärt- och respirationsrytm från MR-data. Datan samlades in med en golden angle radial-upptagning för 3- dimensionella (3D) scanningar. Extraheringen av den råa signalen testades på både rå k-space data och på bildserier av 3D-bilder med hög tidsupplösning, där bilderna var rekonstruerade med en sliding window rekonstruktion. Därefter applicerades filter för att isolera hjärt- och respirationsinformationen, för att få separata SG signaler med endast hjärt- respektive respirationsrytmer. Till slut genererades triggerpunkter för att markera början av hjärt- respektive respirationscyklerna. Dessa jämfördes med triggerpunkter uppmätta med EKG och andningskudde i magnetkameran. Slutsatsen för projektet var att SG signalerna som baserades på k-space data var funktionell för de scanningar som testades och det mest effektiva alternativet, men SG signalerna som baserades på bilder kan visa sig fungera efter mer studier.
Thomas, Scott J. 1961. "Forward modeling and data acquisition for high-accuracy electromagnetic subsurface imaging." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/558108.
Повний текст джерелаAsh, Thomas William John. "Use of statistical classifiers in the analysis of fMRI data." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609710.
Повний текст джерелаPerez, Carlos Arturo. "Discovering causal relationships from fMRI data." [Pensacola, Fla.] : University of West Florida, 2009. http://purl.fcla.edu/fcla/etd/WFE0000189.
Повний текст джерелаSubmitted to the Dept. of Computer Science. Title from title page of source document. Document formatted into pages; contains 90 pages. Includes bibliographical references.
Smith, Norman Ronald. "Fast and automatic techniques for 3D visualization of MRI data." Thesis, Imperial College London, 1998. http://hdl.handle.net/10044/1/11916.
Повний текст джерелаCui, Shenshen. "Fully Automatic Segmentation of White Matter Lesions from Multispectral Magnetic Resonance Imaging Data." Thesis, Uppsala University, Department of Information Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122650.
Повний текст джерелаA fully automatic white matter lesion segmentation method has been developed and evaluated. The method uses multispectral magnetic resonance imaging (MRI) data (T1,T2 and Proton Density). First fuzzy c means (FCM) was used to segment normal brain tissues (white matter,grey matter, and cerebrospinal fluid). The holes in normal white matter were used to sample the WML intensities in the different images. The segmentation of WML was optimized by a graph cut approach. The method was trained by using 9 manually segmented datasets and evaluated by comparison to 11 other manually segmented, and visually evaluated, datasets. The graph cut part of the automatic segmentation requires, on average, 30 seconds per dataset. The results correlated well (r=0.954) to a manually created reference that was supervised by two neuro radiologists.
Key Words: White matter lesion, automatic segmentation, graph cuts, MRI, PIVUS
Bishop, Jonathan Eric. "Techniques for improved time and data efficiency in Fourier-encoded magnetic resonance imaging." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0021/NQ28271.pdf.
Повний текст джерелаCollins, D. Louis. "3D model-based segmentation of individual brain structures from magnetic resonance imaging data." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28716.
Повний текст джерелаThe objective of this thesis is achieved by inverting the traditional segmentation strategy. Instead of matching geometric contours from an idealized atlas directly to the MRI data, segmentation is achieved by identifying the spatial transformation that, under certain constraints, best maps corresponding features between the model and a particular volumetric data set. After automatic recovery of the linear registration transform, the 3-D non-linear transformation is recovered by estimating the local deformation fields, recursively selected by stepping through the entire target volume in a 3D grid pattern, using cross-correlation of invariant intensity features derived from image data. This registration process is performed hierarchically, with each step in decreasing scale refining the fit of the previous step and providing input to the next. When completed, atlas contours defined in the model are mapped through the recovered transformation to segment structures in the original data set and identify them by name.
Experiments for registration and segmentation are presented using simple phantoms, a realistic digital brain phantom as well as human MRI data. The algorithm is used to estimate neuro-anatomical variability, to automatically segment cerebral structures and to create probabilistic representations of the same structures. Validation with manual methods shows that the procedure performs well, is objective and its implementation robust.
Wright, Katherine L. "Measuring Perfusion with Magnetic Resonance Imaging using Novel Data Acquisition and Reconstruction Strategies." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1412786849.
Повний текст джерелаHerterich, Rebecka, and Anna Sumarokova. "Coil Sensitivity Estimation and Intensity Normalisation for Magnetic Resonance Imaging." Thesis, KTH, Medicinteknik och hälsosystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263149.
Повний текст джерелаInom magnetresonanstomografi eftersträvas förbättrad effektivitet, villket bidragit till utvecklingen av strategier som parallell imaging, där arrayer av flera mottagarspolar andvänds samtidigt. Syftet med detta projekt var att uppskattamottagarspolarnas känslighetskarta för att utnyttja dem till i metoder inom magnetresonansavbildning. Dessa känslighetskartor kan användas för att utföra intensitetsinhomogenitetskorrigering av bilderna. Genom utforskande arbete i Matlab utvecklades ett skript som tillämpar inbyggd rådata, från en magnetiskresonansavbildning för att generera spolens känslighet för varje voxel av volymen och omberäkna dem till tvådimensionella känslighetskartor av motsvarande diagnostiska bilder. De resulterande kartlagda känslighetsprofilerna kan användas i känslighetskodning, där en mer exakt lösning kan erhållas med hjälp av de noggrant uppskattade känslighetskartorna.
Barron, Nicholas Henry. "An Analysis of an Advanced Software Business Model for Magnetic Resonance Imaging Data Post Processing." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1459422647.
Повний текст джерелаMichael, Andrew M. "Imaging schizophrenia : data fusion approaches to characterize and classify /." Online version of thesis, 2009. http://hdl.handle.net/1850/9673.
Повний текст джерелаMonnot, Cyril Gerard Valery. "Development of a data analysis platform for characterizing functional connectivity networks in rodents." Thesis, KTH, Skolan för teknik och hälsa (STH), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-124391.
Повний текст джерелаDetta dokument behandlar utvecklingen och implementeringen av en rutin för att analysera bilder från resting-state funktionell Magnetisk Resonenstomografi i gnagare. Även om resting-state connectivity studerats i människor i några år, med olika applikationer i psykiska störningar och neurodegenerativa sjukdomar, är intresset för detta område är betydligt nyare bland experimentell förskare som arbetar med gnagare. Målet av denna projekt är att inställa en procedur så att KERICs experimentell MR team kan lätt analysera resting-state funktionnell MRT data. Under denna projekt har olika viktiga val gjorts, en av dem är att använda Independent Component Analysis procedur för att analysera data framför en seed-baserad teknik. En andra var att använda för anestesi medetomidin och inte isofluran för experiment. Rutinen som var utvecklad under denna projekt blev användad på data från en projekt som studerar effekter av löpning på depression hos råttorna. Rutinen är delad i några delar, den första är att förbehandla data främst med SPM8, den andra är att använda GIFT för att behandla data och den sista är att testa statistiskt resultat från ICA med SPM8 och att testa korrelation mellan komponenter med FNC.
Laruelo, Fernandez Andrea. "Integration of magnetic resonance spectroscopic imaging into the radiotherapy treatment planning." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30126/document.
Повний текст джерелаThe aim of this thesis is to propose new algorithms to overcome the current limitations and to address the open challenges in the processing of magnetic resonance spectroscopic imaging (MRSI) data. MRSI is a non-invasive modality able to provide the spatial distribution of relevant biochemical compounds (metabolites) commonly used as biomarkers of disease. Information provided by MRSI can be used as a valuable insight for the diagnosis, treatment and follow-up of several diseases such as cancer or neurological disorders. Obtaining accurate and reliable information from in vivo MRSI signals is a crucial requirement for the clinical utility of this technique. Despite the numerous publications on the topic, the interpretation of MRSI data is still a challenging problem due to different factors such as the low signal-to-noise ratio (SNR) of the signals, the overlap of spectral lines or the presence of nuisance components. This thesis addresses the problem of interpreting MRSI data and characterizing recurrence in tumor brain patients. These objectives are addressed through a methodological approach based on novel processing methods that incorporate prior knowledge on the MRSI data using a spatio-spectral regularization. As an application, the thesis addresses the integration of MRSI into the radiotherapy treatment workflow within the context of the European project SUMMER (Software for the Use of Multi-Modality images in External Radiotherapy) founded by the European Commission (FP7-PEOPLE-ITN framework)
Remes, J. (Jukka). "Method evaluations in spatial exploratory analyses of resting-state functional magnetic resonance imaging data." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526202228.
Повний текст джерелаTiivistelmä Aivoista toiminnallisella magneettikuvantamisella (engl. functional magnetic resonance imaging, fMRI) lepotilassa tehdyt mittaukset ovat saaneet vakiintuneen aseman spontaanin aivotoiminnan tutkimuksessa. Lepotilan fMRI:n tulokset saadaan usein käyttämällä exploratiivisia menetelmiä, kuten spatiaalista itsenäisten komponenttien analyysia (engl. spatial independent component analysis, sICA). Näitä menetelmiä ja niiden ohjelmistototeutuksia evaluoidaan harvoin kattavasti tai erityisesti lepotilan fMRI:n kannalta. Ohjelmistojen luotetaan toimivan menetelmäkuvausten mukaisesti. Monia menetelmiä ja parametreja käytetään testidatan puuttumisesta huolimatta, ja myös menetelmien taustalla olevien mallien pätevyys on edelleen epäselvä asia. Eksploratiivisten lepotilan fMRI-datan analyysien laadun varmistamiseksi tarvittaisiin huomattavasti nykyistä suurempi määrä evaluaatioita. Tämä väitöskirja tutki sICA-menetelmien ja -ohjelmistojen soveltuvuutta lepotilan fMRI-tutkimuksiin. Kokemuksien perusteella luotiin yleisiä ohjenuoria helpottamaan tulevaisuuden menetelmäevaluaatioita. Lisäksi väitöskirjassa kehitettiin uusi monivertailukorjausmenetelmä, Maxmad, evaluaatiotulosten tilastolliseen korjaukseen. Tunnetun sICA-ohjelmiston, FSL Melodicin, lähdekoodi analysoitiin suhteessa julkaistuihin menetelmäkuvauksiin. Analyysissa ilmeni aiemmin raportoimattomia ja evaluoimattomia menetelmäyksityiskohtia, mikä tarkoittaa, ettei kirjallisuudessa olevien menetelmäkuvausten ja niiden ohjelmistototeutusten välille pitäisi automaattisesti olettaa vastaavuutta. Menetelmätoteutukset pitäisi katselmoida riippumattomasti. Väitöskirjan kokeellisena panoksena parannettiin liukuvassa ikkunassa suoritettavan sICA:n uskottavuutta varmistamalla sICA:n esikäsittelyjen oikeellisuus. Lisäksi väitöskirjassa näytettiin, että aiempien sICA-tulosten tarkkuus ei ole kärsinyt, vaikka niiden estimoinnissa ei ole käytetty toistettavuustyökaluja, kuten Icasso-ohjelmistoa. Väitöskirjan tulokset kyseenalaistavat myös perinteisen sICA-mallin, minkä vuoksi tulisi harkita siitä poikkeavia lähtökohtia lepotilan fMRI-datan analyysiin. Evaluaatioiden helpottamiseksi kehitetyt ohjeet sisältävät seuraavat periaatteet: 1) avoin ohjelmistokehitys (parantunut virheiden havaitseminen), 2) modulaarinen ohjelmistosuunnittelu (nykyistä helpommin toteutettavat evaluaatiot), 3) datatyyppikohtaiset evaluaatiot (parantunut validiteetti) ja 4) parametriavaruuden laaja kattavuus evaluaatioissa (parantunut uskottavuus). Ehdotettu Maxmad-monivertailukorjaus tarjoaa ratkaisuvaihtoehdon laajojen evaluaatioiden tilastollisiin haasteisiin. Jotta lepotilan fMRI:ssä käytettävien exploratiivisten menetelmien uskottavuus paranisi, väitöskirjassa ehdotetaan laaja-alaista yhteistyötä menetelmien evaluoimiseksi
McLeish, Kate. "Combining data acquisition and post-processing techniques for magnetic resonance imaging of moving objects." Thesis, King's College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406105.
Повний текст джерелаLee, Jae-Min. "Characterization of spatial and temporal brain activation patterns in functional magnetic resonance imaging data." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013024.
Повний текст джерелаKulkarni, Praveen P. "Functional MRI data analysis techniques and strategies to map the olfactory system of a rat brain." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-011906-095333/.
Повний текст джерелаGill, Andrew Brian. "The analysis of dynamic contrast-enhanced magnetic resonance imaging data : treatment effects, sampling rates and repeatability." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648826.
Повний текст джерелаSaber, Nikoo Rezazadeh. "CFD modelling of blood flow in the human left ventricle based on magnetic resonance imaging data." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390806.
Повний текст джерелаMeeson, Alan Charles. "Development and application of a toolbox for multivariate pattern analysis of functional magnetic resonance imaging data." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6468/.
Повний текст джерелаKüstner, Thomas [Verfasser]. "Motion Correction of Positron Emission Tomography Data by a Magnetic Resonance Imaging derived Model / Thomas Küstner." München : Verlag Dr. Hut, 2018. http://d-nb.info/1153253984/34.
Повний текст джерелаKhatamian, Yasha. "Investigating the limits of temporal clustering analysis for detecting epileptic activity in functional magnetic resonance imaging data." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=96861.
Повний текст джерелаUne localisation précise de l'activité épileptique est une nécessité pour les patients qui pourraient bénéficier d'une opération résective. L'EEG-IRM fonctionnelle (EEG-IRMf) est une nouvelle technique de localisation qui localise l'activité épileptique dans un enregistrement IRMf en trouvant un signal « blood oxygen level dependent » (BOLD) qui correspond à des événements épileptiques détectés simultanément par un enregistrement EEG. L'analyse temporelle groupée 2D (ATG-2D) est une technique de localisation de l'activité épileptique relativement nouvelle, qui est basée sur des données IRMf. Pour trouver l'activité épileptique, elle décompose l'activité BOLD en différentes composantes selon le moment où elles surviennent sans recourir à un enregistrement EEG simultané. Cette étude évalue la capacité de la technique ATG-2D à détecter une activité épileptique simulée ainsi que sa capacité à détecter une activité épileptique précédemment détectée chez des patients avec EEG-IRMf. Même nous avons montré que la technique ATG-2D pouvait détecter de façon efficace une activité épileptique ayant certaines caractéristiques, il a aussi été trouvé qu'elle détectait de l'activité non épileptique. Il a été déterminé que la technique ATG-2D pouvait seulement être utilisée pour valider une activité épileptique localisée par d'autres moyens ou pour formuler des hypothèses concernant l'endroit où l'activité pourrait survenir.
Meara, Simon Jonathan Pierpoint. "Voxelwise deformation morphology of magnetic resonance imaging data of the brain based on linear scale-space features." Thesis, King's College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406083.
Повний текст джерелаSalami, Alireza. "Decoding the complex brain : multivariate and multimodal analyses of neuroimaging data." Doctoral thesis, Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-51842.
Повний текст джерелаBorkowetz, Angelika, Ivan Platzek, Marieta Toma, Theresa Renner, Roman Herout, Martin Baunacke, Michael Laniado, et al. "Evaluation of Prostate Imaging Reporting and Data System Classification in the Prediction of Tumor Aggressiveness in Targeted Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy." Karger, 2017. https://tud.qucosa.de/id/qucosa%3A70625.
Повний текст джерелаNeumann, Markus. "Automatic multimodal real-time tracking for image plane alignment in interventional Magnetic Resonance Imaging." Phd thesis, Université de Strasbourg, 2014. http://tel.archives-ouvertes.fr/tel-01038023.
Повний текст джерелаPrucka, William R. "Wavelet-based regression and classification for longitudinal diffusion tensor imaging data." Thesis, Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2008p/prucka.pdf.
Повний текст джерелаLindemeyer, Johannes [Verfasser], Nadim Joni Akademischer Betreuer] Shah, and Achim [Akademischer Betreuer] [Stahl. "Optimisation of Phase Data Processing for Susceptibility Reconstruction in Magnetic Resonance Imaging / Johannes Lindemeyer ; Nadim Joni Shah, Achim Stahl." Aachen : Universitätsbibliothek der RWTH Aachen, 2015. http://d-nb.info/1128316560/34.
Повний текст джерелаLindemeyer, Johannes Verfasser], Nadim Joni [Akademischer Betreuer] Shah, and Achim [Akademischer Betreuer] [Stahl. "Optimisation of Phase Data Processing for Susceptibility Reconstruction in Magnetic Resonance Imaging / Johannes Lindemeyer ; Nadim Joni Shah, Achim Stahl." Aachen : Universitätsbibliothek der RWTH Aachen, 2015. http://d-nb.info/1128316560/34.
Повний текст джерелаBurrell, Lauren S. "Feature analysis of functional mri data for mapping epileptic networks." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26528.
Повний текст джерелаAbufadel, Amer Y. "4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14005.
Повний текст джерелаKlemens, Fabian [Verfasser], and G. [Akademischer Betreuer] Thäter. "Combining computational fluid dynamics and magnetic resonance imaging data using lattice Boltzmann based topology optimisation / Fabian Klemens ; Betreuer: G. Thäter." Karlsruhe : KIT-Bibliothek, 2020. http://d-nb.info/1221186922/34.
Повний текст джерелаKnight, Caroline L. "Antenatal characterisation and postnatal validation of fetal nutritional status using novel fetal imaging methods, neonatal body composition data, and anthropometry." Thesis, University of Oxford, 2014. https://ora.ox.ac.uk/objects/uuid:11107be6-35ea-4d6d-9161-ddee4cde1b3e.
Повний текст джерелаDouros, Ioannis. "Towards a 3 dimensional dynamic generic speaker model to study geometry simplifications of the vocal tract using magnetic resonance imaging data." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0115.
Повний текст джерелаIn this thesis we used MRI (Magnetic Resonance Imaging) data of the vocal tract to study speech production. The first part consist of the study of the impact that the velum, the epiglottis and the head position has on the phonation of five french vowels. Acoustic simulations were used to compare the formants of the studied cases with the reference in order to measure their impact. For this part of the work, we used 3D static MR (Magnetic Resonance) images. As speech is usually a dynamic phenomenon, a question arose, whether it would be possible to process the 3D data in order to incorporate dynamic information of continuous speech. Therefore the second part presents some algorithms that one can use in order to enhance speech production data. Several image transformations were combined in order to generate estimations of vocal tract shapes which are more informative than the original ones. At this point, we envisaged apart from enhancing speech production data, to create a generic speaker model that could provide enhanced information not for a specific subject, but globally for speech. As a result, we devoted the third part in the investigation of an algorithm that one can use to create a spatiotemporal atlas of the vocal tract which can be used as a reference or standard speaker for speech studies as it is speaker independent. Finally, the last part of the thesis, refers to a selection of open questions of the field that are still left unanswered, some interesting directions that one can expand this thesis and some potential approaches that could help someone move forward towards these directions
Lee, Thomas Seward. "Software-based gradient nonlinearity distortion correction." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3180.
Повний текст джерелаSarlls, Joelle Elita. "High-resolution Diffusion-weighted Magnetic Resonance Imaging: Development and Application of Novel Radial Fast Spin-echo Acquisitions." Diss., Tucson, Arizona : University of Arizona, 2006. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1704%5F1%5Fm.pdf&type=application/pdf.
Повний текст джерела