Functional Magnetic Resonance Imaging Processing

Author : Luigi Landini,Vincenzo Positano,Maria Santarelli
Publisher : CRC Press
Page : 632 pages
File Size : 50,9 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420028669

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Advanced Image Processing in Magnetic Resonance Imaging by Luigi Landini,Vincenzo Positano,Maria Santarelli Pdf

The popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field. Beginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, filtering techniques for MR images, quantitative analysis including image registration and integration of EEG and MEG techniques with MR, and MR spectroscopy techniques. The final section of the book explores functional MRI (fMRI) in detail, discussing fundamentals and advanced exploratory data analysis, Bayesian inference, and nonlinear analysis. Many of the results presented in the book are derived from the contributors' own work, imparting highly practical experience through experimental and numerical methods. Contributed by international experts at the forefront of the field, Advanced Image Processing in Magnetic Resonance Imaging is an indispensable guide for anyone interested in further advancing the technology and capabilities of MR imaging.

Author : Xingfeng Li
Publisher : Springer Science & Business Media
Page : 229 pages
File Size : 52,9 Mb
Release : 2013-09-14
Category : Medical
ISBN : 9789400773028

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Functional Magnetic Resonance Imaging Processing by Xingfeng Li Pdf

With strong numerical and computational focus, this book serves as an essential resource on the methods for functional neuroimaging analysis, diffusion weighted image analysis, and longitudinal VBM analysis. It includes four MRI image modalities analysis methods. The first covers the PWI methods, which is the basis for understanding cerebral flow in human brain. The second part, the book’s core, covers fMRI methods in three specific domains: first level analysis, second level analysis, and effective connectivity study. The third part covers the analysis of Diffusion weighted image, i.e. DTI, QBI and DSI image analysis. Finally, the book covers (longitudinal) VBM methods and its application to Alzheimer’s disease study.

Author : Matt A. Bernstein,Kevin F. King,Xiaohong Joe Zhou
Publisher : Elsevier
Page : 1041 pages
File Size : 55,6 Mb
Release : 2004-09-21
Category : Mathematics
ISBN : 9780080533124

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Handbook of MRI Pulse Sequences by Matt A. Bernstein,Kevin F. King,Xiaohong Joe Zhou Pdf

Magnetic Resonance Imaging (MRI) is among the most important medical imaging techniques available today. There is an installed base of approximately 15,000 MRI scanners worldwide. Each of these scanners is capable of running many different "pulse sequences", which are governed by physics and engineering principles, and implemented by software programs that control the MRI hardware. To utilize an MRI scanner to the fullest extent, a conceptual understanding of its pulse sequences is crucial. Handbook of MRI Pulse Sequences offers a complete guide that can help the scientists, engineers, clinicians, and technologists in the field of MRI understand and better employ their scanner. Explains pulse sequences, their components, and the associated image reconstruction methods commonly used in MRI Provides self-contained sections for individual techniques Can be used as a quick reference guide or as a resource for deeper study Includes both non-mathematical and mathematical descriptions Contains numerous figures, tables, references, and worked example problems

Author : Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols
Publisher : Cambridge University Press
Page : 0 pages
File Size : 42,7 Mb
Release : 2024-02-08
Category : Medical
ISBN : 1009481169

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Handbook of Functional MRI Data Analysis by Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols Pdf

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook for Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM, and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling, and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

Author : Richard B. Buxton
Publisher : Cambridge University Press
Page : 452 pages
File Size : 43,6 Mb
Release : 2002-01-07
Category : Medical
ISBN : 0521581133

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Introduction to Functional Magnetic Resonance Imaging by Richard B. Buxton Pdf

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.

Author : Richard B. Buxton
Publisher : Cambridge University Press
Page : 479 pages
File Size : 52,7 Mb
Release : 2009-08-27
Category : Medical
ISBN : 9780521899956

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Introduction to Functional Magnetic Resonance Imaging by Richard B. Buxton Pdf

This is the second edition of a useful introductory book on a technique that has revolutionized neuroscience, specifically cognitive neuroscience. Functional magnetic resonance imaging (fMRI) has now become the standard tool for studying the brain systems involved in cognitive and emotional processing. It has also been a major factor in the consilience of the fields of neurobiology, cognitive psychology, social psychology, radiology, physics, mathematics, engineering, and even philosophy. Written and edited by a clinician-scientist in the field, this book remains an excellent user's guide to t

Author : Ajay V. Deshmukh,Vikram M. Gadre
Publisher : Unknown
Page : 140 pages
File Size : 54,6 Mb
Release : 2008
Category : Brain
ISBN : UCLA:L0099567166

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Functional Magnetic Resonance Imaging by Ajay V. Deshmukh,Vikram M. Gadre Pdf

Fundamental concepts, and some glimpses of the state-of-the-art of Magnetic Resonance Imaging (MRI) and functional MRI (fMRI) are discussed in this monograph. A discussion on novel transform methods using Wavelets and the Periodicity Transform for processing the clinical fMRI data is included. The book describes results on the original functional MRI data set. This trial fMRI dataset is provided on a CD included in this book. Making free use of this data set for further experimentation on fMRI for academic and research purpose is highly encouraged. Algorithms on a few worked examples on fMRI data processing are explained. Presentation of certain concepts in MRI and Functional MRI is made simple for the readers from interdisciplinary areas of Medical Sciences and Engineering. This book is also an effort to address a few real-life examples in fMRI which have been evolved through the collaborative research by the Engineering and Medical fraternity.

Author : Jörg Polzehl,Karsten Tabelow
Publisher : Springer Nature
Page : 231 pages
File Size : 50,9 Mb
Release : 2019-09-25
Category : Medical
ISBN : 9783030291846

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Magnetic Resonance Brain Imaging by Jörg Polzehl,Karsten Tabelow Pdf

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.

Author : Stephan Ulmer,Olav Jansen
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 52,7 Mb
Release : 2013-06-12
Category : Medical
ISBN : 9783642343421

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fMRI by Stephan Ulmer,Olav Jansen Pdf

Over the past two decades, fMRI has evolved into an invaluable clinical tool for routine brain imaging. This book provides a state of the art overview of fMRI and its use in clinical practice. Experts in the field share their knowledge and explain how to overcome diverse potential technical barriers and problems. Starting from the very basics on the origin of the BOLD signal, the book covers technical issues, anatomical landmarks, the full range of clinical applications, methods of statistical analysis, and special issues in various clinical fields. Comparisons are made with other brain mapping techniques, such as DTI, PET, TMS, EEG, and MEG, and their combined use with fMRI is also discussed. Since the first edition, original chapters have been updated and new chapters added, covering both novel aspects of analysis and further important clinical applications.

Author : Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols
Publisher : Cambridge University Press
Page : 239 pages
File Size : 53,6 Mb
Release : 2011-08-22
Category : Medical
ISBN : 9781139498364

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Handbook of Functional MRI Data Analysis by Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols Pdf

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

Author : Stephan Ulmer,Olav Jansen
Publisher : Springer Science & Business Media
Page : 181 pages
File Size : 44,8 Mb
Release : 2010-01-18
Category : Medical
ISBN : 9783540681328

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fMRI by Stephan Ulmer,Olav Jansen Pdf

Functional MRI (fMRI) and the basic method of BOLD imaging were introduced in 1993 by Seiji Ogawa. From very basic experiments, fMRI has evolved into a clinical application for daily routine brain imaging. There have been various improvements in both the imaging technique as such as well as in the statistical analysis. In this volume, experts in the field share their knowledge and point out possible technical barriers and problems explaining how to solve them. Starting from the very basics on the origin of the BOLD signal, the book covers technical issues, anatomical landmarks, presurgical applications, and special issues in various clinical fields. Other modalities for brain mapping such as PET, TMS, and MEG are also compared with fMRI. This book is intended to give a state-of-the-art overview and to serve as a reference and guide for clinical applications of fMRI.

Author : Christoph Stippich
Publisher : Springer
Page : 363 pages
File Size : 40,8 Mb
Release : 2015-02-27
Category : Medical
ISBN : 9783662451236

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Clinical Functional MRI by Christoph Stippich Pdf

The second, revised edition of this successful textbook provides an up-to-date description of the use of preoperative fMRI in patients with brain tumors and epilepsies. State of the art fMRI procedures are presented, with detailed consideration of practical aspects, imaging and data processing, normal and pathological findings, and diagnostic possibilities and limitations. Relevant information on brain physiology, functional neuroanatomy, imaging technique, and methodology is provided by recognized experts in these fields. Compared with the first edition, chapters have been updated to reflect the latest developments and in particular the current use of diffusion tensor imaging (DTI) and resting-state fMRI. Entirely new chapters are included on resting-state presurgical fMRI and the role of DTI and tractography in brain tumor surgery. Further chapters address multimodality functional neuroimaging, brain plasticity, and pitfalls, tips, and tricks.

Author : Ciulla, Carlo
Publisher : IGI Global
Page : 640 pages
File Size : 49,6 Mb
Release : 2009-03-31
Category : Computers
ISBN : 9781605662039

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Improved Signal and Image Interpolation in Biomedical Applications: The Case of Magnetic Resonance Imaging (MRI) by Ciulla, Carlo Pdf

"This book presents novel concepts supported through mathematics to create unique theories related to interpolation"--Provided by publisher.

Author : Scott A. Huettel
Publisher : Unknown
Page : 492 pages
File Size : 52,7 Mb
Release : 2004
Category : Brain
ISBN : 0878932887

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Functional Magnetic Resonance Imaging by Scott A. Huettel Pdf

Author : Alfonso Nieto-Castanon
Publisher : Hilbert Press
Page : 108 pages
File Size : 40,9 Mb
Release : 2020-01-31
Category : Science
ISBN : 9780578644004

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Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN by Alfonso Nieto-Castanon Pdf

This handbook describes methods for processing and analyzing functional connectivity Magnetic Resonance Imaging (fcMRI) data using the CONN toolbox, a popular freely-available functional connectivity analysis software. Content description [excerpt from introduction] The first section (fMRI minimal preprocessing pipeline) describes standard and advanced preprocessing steps in fcMRI. These steps are aimed at correcting or minimizing the influence of well-known factors affecting the quality of functional and anatomical MRI data, including effects arising from subject motion within the scanner, temporal and spatial image distortions due to the sequential nature of the scanning acquisition protocol, and inhomogeneities in the scanner magnetic field, as well as anatomical differences among subjects. Even after these conventional preprocessing steps, the measured blood-oxygen-level-dependent (BOLD) signal often still contains a considerable amount of noise from a combination of physiological effects, outliers, and residual subject-motion factors. If unaccounted for, these factors would introduce very strong and noticeable biases in all functional connectivity measures. The second section (fMRI denoising pipeline) describes standard and advanced denoising procedures in CONN that are used to characterize and remove the effect of these residual non-neural noise sources. Functional connectivity Magnetic Resonance Imaging studies attempt to quantify the level of functional integration across different brain areas. The third section (functional connectivity measures) describes a representative set of functional connectivity measures available in CONN, each focusing on different indicators of functional integration, including seed-based connectivity measures, ROI-to-ROI measures, graph theoretical approaches, network-based measures, and dynamic connectivity measures. Second-level analyses allow researchers to make inferences about properties of groups or populations, by generalizing from the observations of only a subset of subjects in a study. The fourth section (General Linear Model) describes the mathematics behind the General Linear Model (GLM), the approach used in CONN for all second-level analyses of functional connectivity measures. The description includes GLM model definition, parameter estimation, and hypothesis testing framework, as well as several practical examples and general guidelines aimed at helping researchers use this method to answer their specific research questions. The last section (cluster-level inferences) details several approaches implemented in CONN that allow researchers to make meaningful inferences from their second-level analysis results while providing appropriate family-wise error control (FWEC), whether in the context of voxel-based measures, such as when studying properties of seed-based maps across multiple subjects, or in the context of ROI-to-ROI measures, such as when studying properties of ROI-to-ROI connectivity matrices across multiple subjects.