Magnetic Resonance Neuroimaging
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Magnetic Resonance Neuroimaging
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Author : John Kucharczyk
language : en
Publisher: CRC Press
Release Date : 1993-12-21
Magnetic Resonance Neuroimaging written by John Kucharczyk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-12-21 with Science categories.
Magnetic Resonance Neuroimaging is a comprehensive volume that focuses on the newest fields of MRI from functional and metabolic mapping to the latest applications of neuro-interventional techniques. Each chapter offers critical discussions regarding available methods and the most recent advances in neuroimaging, including such topics as the use of diffusion and perfusion MRI in the early detection of stroke, the revolutionary advent of high-speed MRI for non-invasively mapping cortical responses to task activation paradigms, and the principles and applications of contrast agents. The chapters also discuss how these new advances are applied to problems in patients ranging in age from the newborn to the elderly, as well as disease states ranging from metabolic encephalopathy to cardiovascular disorders and stroke. Magnetic Resonance Neuroimaging will be a valuable text/reference for residents, research fellows, and clinicians in radiology, neuroradiology, and magnetic resonance imaging.
Magnetic Resonance Neuroimaging
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Author : Michel Modo
language : en
Publisher: Humana Press
Release Date : 2016-08-23
Magnetic Resonance Neuroimaging written by Michel Modo and has been published by Humana Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Medical categories.
The advent of non-invasive imaging technology, such as magnetic resonance imaging (MRI), has allowed biologists and clinicians to make great strides in unraveling the secrets of the brain. In Magnetic Resonance Neuroimaging: Methods and Protocols, expert researchers in the field provide a comprehensive collection of experimental MRI protocols that can be used to non-invasively interrogate the healthy and diseased brain. The chapters are divided into general techniques, such as the measurement of relaxivity, magnetic resonance spectroscopy, diffusion tensor imaging, and MR reporter genes, as well as specific applications in brain imaging, for example, phenotyping transgenic animals, detecting amyloid plaques, and fMRI in psychiatry. As a volume in the highly successful Methods in Molecular BiologyTM series, this work contains the type of detailed description and implementation advice that is crucial for getting optimal results. Thorough and cutting-edge, Magnetic Resonance Neuroimaging: Methods and Protocols serves neuroscientists, clinical neurologists, psychiatrists, and radiologists with an excellent compendium of methods easily applied to both animal and human studies and certain to be an excellent resource for translational research.
Magnetic Resonance Brain Imaging
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Author : Jörg Polzehl
language : en
Publisher: Springer Nature
Release Date : 2019-09-25
Magnetic Resonance Brain Imaging written by Jörg Polzehl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-25 with Medical categories.
This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.
Magnetic Resonance Brain Imaging
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Author : Jörg Polzehl
language : en
Publisher: Springer
Release Date : 2019-10-07
Magnetic Resonance Brain Imaging written by Jörg Polzehl and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-07 with Medical categories.
This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.
Introduction To Functional Magnetic Resonance Imaging
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Author : Richard B. Buxton
language : en
Publisher: Cambridge University Press
Release Date : 2002-01-07
Introduction To Functional Magnetic Resonance Imaging written by Richard B. Buxton and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-07 with Medical categories.
Functional Magnetic Resonance Imaging (fMRI) is now a standard tool for mapping activation patterns in the human brain. This highly interdisciplinary field involves neuroscientists and physicists as well as clinicians who need to understand the rapidly increasing range, flexibility and sophistication of the techniques. In this book, Richard Buxton, a leading authority on fMRI, provides an invaluable introduction for this readership to how fMRI works, from basic principles and the underlying physics and physiology, to newer techniques such as arterial spin labeling and diffusion tensor imaging.
Functional Magnetic Resonance Imaging
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Author :
language : en
Publisher:
Release Date : 2018
Functional Magnetic Resonance Imaging written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Magnetic Resonance Neuroimaging
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Author : John Kucharczyk
language : en
Publisher:
Release Date : 1998-12
Magnetic Resonance Neuroimaging written by John Kucharczyk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12 with categories.
Magnetic Resonance In Epilepsy
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Author : Ruben Kuzniecky
language : en
Publisher: Academic Press
Release Date : 2005-01-19
Magnetic Resonance In Epilepsy written by Ruben Kuzniecky and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-19 with Medical categories.
Remarkable advances in imaging have increased the importance of MRI for diagnostic, treatment and management of epilepsy. Neuroimaging of patients with epilepsy no longer simply deals with the technology and interpretation of images but also with issues of brain metabolism, energetics, cognition and brain dysfunction. The first edition of Magnetic Resonance in Epilepsy came into clinical practice in 1995 with a revolutionary idea; that is, MR is as important as EEG in the clinical management of patients with epilepsy. The second edition of Magnetic Resonance in Epilepsy, the only comprehensive text in the field of epilepsy neuroimaging, reviews fundamental concepts and new advances in MR technology, computerized analysis, MR spectroscopy, DWI and other neuroimaging techniques such as PET, SPECT and MEG application to the study of patients with epileptic disorders. *Provides a crucial update of recent advances in imaging techniques*Timely publication as subject of neuroimaging is a very "hot" area in both clinical epilepsy and basic neuroscience research*Editors are well-respected in this field
Functional Magnetic Resonance Imaging
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Author : Scott A. Huettel
language : en
Publisher:
Release Date : 2004
Functional Magnetic Resonance Imaging written by Scott A. Huettel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Brain categories.
Magnetic Resonance Brain Imaging
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Author : Jörg Polzehl
language : en
Publisher: Springer Nature
Release Date : 2023-11-12
Magnetic Resonance Brain Imaging written by Jörg Polzehl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-12 with Medical categories.
This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain. For the data processing pipelines we rely on R, the software environment for statistical computing and graphics. The book is intended for readers from two communities: Statisticians, who are interested in neuroimaging and look for an introduction to the acquired data and typical scientific problems in the field and neuroimaging students, who want to learn about the statistical modeling and analysis of MRI data. Being a practical introduction, the book focuses on those problems in data analysis for which implementations within R are available. By providing full worked-out examples the book thus serves as a tutorial for MRI analysis with R, from which the reader can derive its own data processing scripts. The book starts with a short introduction into MRI. The next chapter considers the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters then cover four common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, Multi-Parameter Mapping and Inversion Recovery MRI. The book concludes with extended Appendices on details of the utilize non-parametric statistics and on resources for R and MRI data. The book also addresses the issues of reproducibility and topics like data organization and description, open data and open science. It completely relies on a dynamic report generation with knitr: The books R-code and intermediate results are available for reproducibility of the examples.