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Relevant bibliographies by topics / Neurology; Magnetic resonance imaging

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Academic literature on the topic 'Neurology; Magnetic resonance imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Neurology; Magnetic resonance imaging"

1

Trevisan, C., M. Spagnoli, G. Crisi, and L. Mavilla. "Magnetic Resonance Imaging." European Neurology 29, no. 2 (1989): 33–35. http://dx.doi.org/10.1159/000116464.

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Kuzniecky, Ruben. "Magnetic resonance and functional magnetic resonance imaging." Current Opinion in Neurology 10, no. 2 (April 1997): 88–91. http://dx.doi.org/10.1097/00019052-199704000-00003.

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Humberstone, Miles R., and Guy V. Sawle. "Functional Magnetic Resonance Imaging in Clinical Neurology." European Neurology 36, no. 3 (1996): 117–24. http://dx.doi.org/10.1159/000117227.

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Herzog, Richard J., Alexander J. Ghanayem, Richard D. Guyer, Arnold Graham-Smith, Edward D. Simmons, and Alexander Vaccaro. "Magnetic resonance imaging." Spine Journal 3, no. 3 (May 2003): 6–10. http://dx.doi.org/10.1016/s1529-9430(02)00559-4.

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Elster, Allen D. "Magnetic resonance imaging." Surgical Neurology 32, no. 6 (December 1989): 478–79. http://dx.doi.org/10.1016/0090-3019(89)90018-9.

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Farrall, A. J. "Magnetic resonance imaging." Practical Neurology 6, no. 5 (October 1, 2006): 318–25. http://dx.doi.org/10.1136/jnnp.2006.091843.

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Penry, K. "Magnetic resonance imaging." Electroencephalography and Clinical Neurophysiology 61, no. 3 (September 1985): S2. http://dx.doi.org/10.1016/0013-4694(85)90053-7.

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Zhong, J., and D. Bavelier. "Functional Magnetic Resonance Imaging." Neurology 64, no. 7 (April 11, 2005): 1323. http://dx.doi.org/10.1212/01.wnl.0000164847.45244.a1.

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Bendersky, Mariana, Inés Tamer, Juan Van Der Velde, Armando Dunaievsky, Gustavo Schuster, Carlos Rugilo, and Roberto E. P. Sica. "Prenatal cerebral magnetic resonance imaging." Journal of the Neurological Sciences 275, no. 1-2 (December 2008): 37–41. http://dx.doi.org/10.1016/j.jns.2008.07.012.

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Jackson, Graeme D., and Alan Connelly. "Magnetic resonance imaging and spectroscopy." Current Opinion in Neurology 9, no. 2 (April 1996): 82–88. http://dx.doi.org/10.1097/00019052-199604000-00004.

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Dissertations / Theses on the topic "Neurology; Magnetic resonance imaging"

1

Wylie, Glenn Richard. "Priming and shifting of task set." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301728.

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Rutherford, Mary. "Magnetic resonance imaging of hypoxic-ischaemic brain lesions in the term infant." Thesis, University of Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262817.

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Brooks, Jonathan Charles William. "Quantification of magnetic resonance spectra using imaging based techniques : application to the study of brain ageing." Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367141.

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Reddy, H. "Cortical re-organisation of plasticity : applying fMRI to study disease." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365777.

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Petrovic, Aleksandar. "Connectivity driven registration of magnetic resonance images of the human brain." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:fd95c6d4-06d2-41b4-b6f2-5cbd73cb83a9.

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Image registration methods underpin many analysis techniques in neuroimaging. They are essential in group studies when images of different individuals or different modalities need to be brought into a common reference frame. This thesis explores the potential of brain connectivity- driven alignment and develops surface registration techniques for magnetic resonance imaging (MRI), which is a noninvasive neuroimaging tool for probing function and structure of the human brain. The first part of this work develops a novel surface registration framework, based on free mesh deformations, which aligns cortical and subcortical surfaces by matching structural connectivity patterns derived using probabilistic tractography (diffusion-weighted MRI). Structural, i.e. white matter, connectivity is a good predictor of functional specialisation and structural connectivity-driven registration can therefore be expected to enhance the alignment of functionally homologous areas across subjects. The second part validates developed methods for cortical surfaces. Resting State Networks are used in an innovative way to delineate several functionally distinct regions, which were then used to quantify connectivity-driven registration performance by measuring the inter- subject overlap before and after registration. Consequently, the proposed method is assessed using an independent imaging modality and the results are compared to results from state-of-the-art cortical geometry-driven surface registration methods. A connectivity-driven registration pipeline is also developed for, and applied to, the surfaces of subcortical structures such as the thalamus. It is carefully validated on a set of artificial test examples and compared to another novel surface registration paradigm based on spherical wavelets. The proposed registration pipeline is then used to explore the differences in the alignment of two groups of subjects, healthy controls and Alzheimer's disease patients, to a common template. Finally, we propose how functional connectivity can be used instead of structural connectivity for driving registrations, as well as how the surface-based framework can be extended to a volumetric one. Apart from providing the benefits such as the improved functional alignment, we hope that the research conducted in this thesis will also represent the basis for the development of templates of structural and functional brain connectivity.

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Beckwith, Travis J. "A Magnetic Resonance Imaging Study of the Developmental Consequences of Childhood Lead Exposure in Adulthood." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439309120.

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Okell, Thomas William. "Assessment of collateral blood flow in the brain using magnetic resonance imaging." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:7e63bcf2-22bf-49e5-81ec-1644217605ae.

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Collateral blood flow is the compensatory flow of blood to the tissue through secondary channels when the primary channel is compromised. It is of vital importance in cerebrovascular disease where collateral flow can maintain large regions of brain tissue which would otherwise have suffered ischaemic damage. Traditional x-ray based techniques for visualising collateral flow are invasive and carry risks to the patient. In this thesis novel magnetic resonance imaging techniques for performing vessel-selective labelling of brain feeding arteries are explored and developed to reveal the source and extent of collateral flow in the brain non-invasively and without the use of contrast agents. Vessel-encoded pseudo-continuous arterial spin labelling (VEPCASL) allows the selective labelling of blood water in different combinations of brain feeding arteries that can be combined in post-processing to yield vascular territory maps. The mechanism of VEPCASL was elucidated and optimised through simulations of the Bloch equations and phantom experiments, including its sensitivity to sequence parameters, blood velocity and off-resonance effects. An implementation of the VEPCASL pulse sequence using an echo-planar imaging (EPI) readout was applied in healthy volunteers to enable optimisation of the post-labelling delay and choice of labelling plane position. Improvements to the signal-to-noise ratio (SNR) and motion-sensitivity were made through the addition of background suppression pulses and a partial-Fourier scheme. Experiments using a three-dimensional gradient and spin echo (3D-GRASE) readout were somewhat compromised by significant blurring in the slice direction, but showed potential for future work with a high SNR and reduced dropout artefacts. The VEPCASL preparation was also applied to a dynamic 2D angiographic readout, allowing direct visualisation of collateral blood flow in the brain as well as a morphological and functional assessment of the major cerebral arteries. The application of a balanced steady-state free precession (bSSFP) readout significantly increased the acquisition efficiency, allowing the generation of dynamic 3D vessel-selective angiograms. A theoretical model of the dynamic angiographic signal was also derived, allowing quantification of blood flow through specified vessels, providing a significant advantage over qualitative x-ray based methods. Finally, these methods were applied to a number of patient groups, including those with vertebro-basilar disease, carotid stenosis and arteriovenous malformation. These preliminary studies demonstrate that useful clinical information regarding collateral blood flow can be obtained with these techniques.

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Riley, Amanda L. "Effectiveness of Fluorogold Bound Conjugate in Imaging Mice Neuroendocrine Circuits." Kent State University Honors College / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1587996298161636.

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Tziortzi, Andri. "Quantitative dopamine imaging in humans using magnetic resonance and positron emission tomography." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:26b8b4c2-0237-4c40-8c84-9ae818a0dabf.

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Dopamine is an important neurotransmitter that is involved in several human functions such as reward, cognition, emotions and movement. Abnormalities of the neurotransmitter itself, or the dopamine receptors through which it exerts its actions, contribute to a wide range of psychiatric and neurological disorders such as Parkinson’s disease and schizophrenia. Thus far, despite the great interest and extensive research, the exact role of dopamine and the causalities of dopamine related disorders are not fully understood. Here we have developed multimodal imaging methods, to investigate the release of dopamine and the distribution of the dopamine D2-like receptor family in-vivo in healthy humans. We use the [¹¹C]PHNO PET ligand, which enables exploration of dopamine-related parameters in striatal regions, and for the first time in extrastriatal regions, that are known to be associated with distinctive functions and disorders. Our methods involve robust approaches for the manual and automated delineation of these brain regions, in terms of structural and functional organisation, using information from structural and diffusion MRI images. These data have been combined with [¹¹C]PHNO PET data for quantitative dopamine imaging. Our investigation has revealed the distribution and the relative density of the D3R and D2R sites of the dopamine D2-like receptor family, in healthy humans. In addition, we have demonstrated that the release of dopamine has a functional rather than a structural specificity and that the relative densities of the D3R and D2R sites do not drive this specificity. We have also shown that the dopamine D3R receptor is primarily distributed in regions that have a central role in reward and addiction. A finding that supports theories that assigns a primarily limbic role to the D3R.

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Zamboni, Giovanna. "Structural and functional magnetic resonance imaging (MRI) in the prediction and characterization of mild cognitive impairment (MCI) and Alzheimer's disease (AD)." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:8cdd8320-1243-4f85-928c-b03fd4bd1201.

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The aim of the research presented in this thesis was to improve the characterisation of the changes in brain structure and function that occur at different stages of Alzheimer’s disease (AD) progression, from pre-symptomatic AD, to mild cognitive impairment (MCI), to clinically evident dementia, using magnetic resonance imaging (MRI) techniques. Baseline structural MRI data from a cohort of healthy older adults who were followed prospectively for ten years, during which time some developed MCI and some AD, were analysed. It was found that structural MRI could detect volume loss in medial-temporal lobes up to 7-10 years before clinical symptoms of AD appear. In addition, volumetric variability of medial-temporal regions detected by structural MRI across cognitively healthy older adults correlated with their performance on a task of visuospatial associative memory, and functional activation of the same regions occurred during successful performance of the same task on functional MRI (fMRI). Three groups of participants - cognitively healthy controls, people with MCI, and patients with probable AD - were then recruited and underwent a multimodal MRI protocol, which included functional sequences acquired at rest and during the execution of two different cognitive tasks (visuospatial associative memory and self-appraisal). Cross-sectional comparisons showed: (i) that successful visuospatial associative memory performance was associated with increased functional activity (measured with task fMRI) in lateral prefrontal regions in AD patients relative to controls and (ii) that increased functional activity overlapped with frontal brain networks showing increased functional connectivity (measured with resting fMRI) in the same AD patients. Further, by demonstrating group- and condition-specific decreased frontal activity in AD patients relative to controls during a self-appraisal fMRI task, it was shown the specific utility of fMRI to unravel cognitive mechanisms underlying specific neuropsychological symptoms such as unawareness of cognitive impairment (anosognosia) in MCI and AD. In conclusion, structural MRI can detect morphological changes in the preclinical stage of AD, possibly earlier than previously described, and these reliably match cognitive functioning in older adults. In the MCI and AD stages, once symptoms of cognitive impairment are clinically evident and measurable, task-related and resting functional MRI can inform on residual brain function detectable over and above the known changes in brain morphology and cognitive performance that have already occurred at these stages, emerging as a sensitive marker of residual ability that could potentially be used to measure the effect of new treatments.

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Books on the topic "Neurology; Magnetic resonance imaging"

1

Valk, J. Magnetic resonance in dementia. Berlin: Springer, 2002.

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Shorvon, S. D. Magnetic Resonance Scanning and Epilepsy. Boston, MA: Springer US, 1994.

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Britain), SCOPE (Great, ed. CNS magnetic resonance imaging in infants and children. [London]: MacKeith Press, 1995.

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Faerber, Eric N. CNS magnetic resonance imaging in infants and children. [London]: MacKeith Press, 1995.

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Marjo S. van der Knaap. Magnetic resonance of myelination and myelin disorders. 3rd ed. Berlin: Springer, 2005.

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MD, Friedman Lawrence, ed. MRI of the brain: Normal anatomy and normal variants. Phildelphia: W.B. Saunders, 1997.

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1938-, Kricun Morrie E., ed. MR imaging and CT of the spine: Case study approach. New York, N.Y: Raven Press, 1994.

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author, Raybaud C., ed. Pediatric neuroimaging. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins, 2012.

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Jackson, Graeme D. MRI neuroanatomy: A new angle on the brain. New York: Churchill Livingstone, 1996.

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Paul, Griffiths. Atlas of fetal and neonatal brain MR. Philadelphia, PA: Mosby/Elsevier, 2010.

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Book chapters on the topic "Neurology; Magnetic resonance imaging"

1

Steiner, R. E. "Magnetic Resonance Imaging in Paediatric Neurology." In Digitale bildgebende Verfahren Interventionelle Verfahren Integrierte digitale Radiologie, 24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73134-1_6.

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Steiner, R. E. "Nuclear Magnetic Resonance Imaging of the Central Nervous System." In Neurology, 404–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70007-1_59.

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Di Chiro, G. "Positron Emission Tomography and Nuclear Magnetic Resonance Imaging: New Perspectives in Neuroimaging." In Neurology, 413–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70007-1_60.

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Paciaroni, Maurizio, Valeria Caso, and Giancarlo Agnelli. "Magnetic Resonance Imaging, Magnetic Resonance and Catheter Angiography for Diagnosis of Cervical Artery Dissection." In Frontiers of Neurology and Neuroscience, 102–18. Basel: KARGER, 2005. http://dx.doi.org/10.1159/000088155.

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Gowland, Penny, and Peter Mansfield. "High-Speed Echo-Planar Imaging and its Application to Neurology." In Magnetic Resonance Spectroscopy and Imaging in Neurochemistry, 213–39. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5863-7_9.

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Havsteen, Inger, Kristoffer H. Madsen, Hanne Christensen, Anders Christensen, and Hartwig R. Siebner. "Diagnostic Approach to Functional Recovery: Functional Magnetic Resonance Imaging after Stroke." In Frontiers of Neurology and Neuroscience, 9–25. Basel: S. KARGER AG, 2013. http://dx.doi.org/10.1159/000346408.

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Sijens, Paul E. "Molecular Imaging Using Magnetic Resonance Spectroscopy in Neurology: The Past, the Present, and the Future." In PET and SPECT in Neurology, 149–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54307-4_7.

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Haan, J., and M. Haupts. "Complex Partial Seizures (CPS): Magnetic Resonance Imaging (MRI) in Patients with Normal Cranial Computerized Tomography (CCT): Correlations with the EEG." In Verhandlungen der Deutschen Gesellschaft für Neurologie, 618–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83201-7_179.

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Bonél, H., and M. Reiser. "Magnetic Resonance Imaging." In Orthopedic Imaging, 53–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-60295-5_4.

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Choo, Yun Song, and Eric Ting. "Imaging: Magnetic Resonance Imaging." In Ocular Adnexal Lesions, 19–23. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3798-7_3.

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Conference papers on the topic "Neurology; Magnetic resonance imaging"

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Heinonen, Tomi, Antti J. Lahtinen, Prasun Dastidar, Pertti Ryymin, Paeivi Laarne, Jaakko Malmivuo, Erkki Laasonen, Harry Frey, and Hannu Eskola. "Applications of magnetic resonance image segmentation in neurology." In Medical Imaging '99, edited by Seong K. Mun and Yongmin Kim. SPIE, 1999. http://dx.doi.org/10.1117/12.349469.

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Hengerer, A. "Molecular Magnetic Resonance Imaging." In 2nd International University of Malaya Research Imaging Symposium (UMRIS) 2005: Fundamentals of Molecular Imaging. Kuala Lumpur, Malaysia: Department of Biomedical Imaging, University of Malaya, 2005. http://dx.doi.org/10.2349/biij.1.1.e7-53.

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Fullerton, Ph.D., Gary D. "Imaging with magnetic resonance." In The fourth mexican symposium on medical physics. AIP, 2000. http://dx.doi.org/10.1063/1.1328942.

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Bajo, A., M. J. Ledesma-Carbayo, C. Santa Marta, E. Perez David, M. A. Garcia-Fernandez, M. Desco, and A. Santos. "Cardiac motion analysis from magnetic resonance imaging: Cine magnetic resonance versus tagged magnetic resonance." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745426.

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Soumekh, Mehrdad. "Spatiotemporal spiral magnetic resonance imaging." In Medical Imaging '99, edited by John M. Boone and James T. Dobbins III. SPIE, 1999. http://dx.doi.org/10.1117/12.349564.

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Carlson, Joseph W., Larry E. Crooks, M. Arakawa, D. M. Goldhaber, David M. Kramer, and Leon Kaufman. "Switched-field magnetic resonance imaging." In Medical Imaging VI, edited by Rodney Shaw. SPIE, 1992. http://dx.doi.org/10.1117/12.59381.

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Kramer, David M., John Coleman, Leon Kaufman, and Leila D. Mattinger. "Variable-parameter magnetic resonance imaging." In Medical Imaging VI, edited by Rodney Shaw. SPIE, 1992. http://dx.doi.org/10.1117/12.59380.

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Othman, Shadi F., Huihui Xu, Thomas J. Royston, and Richard L. Magin. "Microscopic magnetic resonance elastography (μMRE) applications." In Medical Imaging, edited by Amir A. Amini and Armando Manduca. SPIE, 2005. http://dx.doi.org/10.1117/12.595691.

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Fitzsimmons, Jeffrey R., George R. Duensing, and David M. Peterson. "Magnetic resonance imaging at high magnetic fields." In 26th AIPR Workshop: Exploiting New Image Sources and Sensors, edited by J. Michael Selander. SPIE, 1998. http://dx.doi.org/10.1117/12.300053.

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Syms, R. R. A., E. Kardoulaki, M. Rea, S. Taylor-Robinson, C. Wadsworth, and I. R. Young. "Metamaterial magnetic resonance imaging endoscope." In 2017 11th International Congress on Engineered Materials Platforms for Novel Wave Phenomena (Metamaterials). IEEE, 2017. http://dx.doi.org/10.1109/metamaterials.2017.8107804.

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Reports on the topic "Neurology; Magnetic resonance imaging"

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Schweizer, M. Developments in boron magnetic resonance imaging (MRI). Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/421332.

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Schmidt, D. M., and M. A. Espy. Low-field magnetic resonance imaging of gases. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674672.

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Bronskill, Michael J., Paul L. Carson, Steve Einstein, Michael Koshinen, Margit Lassen, Seong Ki Mun, William Pavlicek, et al. Site Planning for Magnetic Resonance Imaging Systems. AAPM, 1986. http://dx.doi.org/10.37206/19.

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Budakian, Raffi. Nanometer-Scale Force Detected Nuclear Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada591583.

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Haslam, Philip. Multiparametric magnetic resonance imaging of the prostate gland. BJUI Knowledge, March 2021. http://dx.doi.org/10.18591/bjuik.0731.

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Schmidt, D. M., J. S. George, S. I. Penttila, and A. Caprihan. Nuclear magnetic resonance imaging with hyper-polarized noble gases. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/534499.

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Diegert, C. Innovative computing for diagnoses from medical, magnetic-resonance imaging. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/477671.

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Botto, R. E., and G. D. Cody. Magnetic resonance imaging of solvent transport in polymer networks. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/26588.

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Cutting, Laurie E. Magnetic Resonance Spectroscopy Imaging and Function Magnetic Resonance Imaging of Neurofibromatosis Type I: In vivo Pathophysiology, Brain-Behavior Relationships and Reading Disabilities. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada436879.

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Cutting, Laurie E. Magnetic Resonance Spectroscopy Imaging and Functional Magnetic Resonance Imaging of Neurofibromatosis Type I: In Vivo Pathophysiology Brain-Behavior Relationships and Reading Disabilities. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada420953.

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