Electromagnetic Brain Imaging

Electromagnetic Brain Imaging PDF Author: Kensuke Sekihara
Publisher: Springer
ISBN: 3319149474
Category : Medical
Languages : en
Pages : 277

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Book Description
This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

Electromagnetic Brain Imaging

Electromagnetic Brain Imaging PDF Author: Kensuke Sekihara
Publisher: Springer
ISBN: 3319149474
Category : Medical
Languages : en
Pages : 277

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Book Description
This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

Adaptive Spatial Filters for Electromagnetic Brain Imaging

Adaptive Spatial Filters for Electromagnetic Brain Imaging PDF Author: Kensuke Sekihara
Publisher: Springer
ISBN: 9783642098277
Category : Technology & Engineering
Languages : en
Pages : 245

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Book Description
Neural activity in the human brain generates coherent synaptic and intracellular currents in cortical columns that create electromagnetic signals which can be measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEG). Electromagnetic brain imaging refers to techniques that reconstruct neural activity from MEG and EEG signals. Electromagnetic brain imaging is unique among functional imaging techniques for its ability to provide spatio-temporal brain activation profiles that reflect not only where the activity occurs in the brain but also when this activity occurs in relation to external and internal cognitive events, as well as to activity in other brain regions. Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance. The intended audience include graduate students and researchers interested in the methodological aspects of electromagnetic brain imaging.

Adaptive Spatial Filters for Electromagnetic Brain Imaging

Adaptive Spatial Filters for Electromagnetic Brain Imaging PDF Author: Kensuke Sekihara
Publisher: Springer Science & Business Media
ISBN: 3540793704
Category : Technology & Engineering
Languages : en
Pages : 247

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Book Description
Neural activity in the human brain generates coherent synaptic and intracellular currents in cortical columns that create electromagnetic signals which can be measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEG). Electromagnetic brain imaging refers to techniques that reconstruct neural activity from MEG and EEG signals. Electromagnetic brain imaging is unique among functional imaging techniques for its ability to provide spatio-temporal brain activation profiles that reflect not only where the activity occurs in the brain but also when this activity occurs in relation to external and internal cognitive events, as well as to activity in other brain regions. Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance. The intended audience include graduate students and researchers interested in the methodological aspects of electromagnetic brain imaging.

Magnetic Source Imaging of the Human Brain

Magnetic Source Imaging of the Human Brain PDF Author: Zhong-Lin Lu
Publisher: Psychology Press
ISBN: 1135625670
Category : Psychology
Languages : en
Pages : 475

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Book Description
This book is designed to acquaint serious students, scientists, and clinicians with magnetic source imaging (MSI)--a brain imaging technique of proven importance that promises even more important advances. The technique permits spatial resolution of neural events on a scale measured in millimeters and temporal resolution measured in milliseconds. Although widely mentioned in literature dealing with cognitive neuroscience and functional brain imaging, there is no single book describing both the foundations and actual methods of magnetoencephalopgraphy and its underlying science, neuromagnetism. This volume fills a long-standing need, as it is accessible to scientists and students having no special background in the field, and makes it possible for them to understand this literature and undertake their own research. A self-contained unit, this book covers MSI from beginning to end, including its relationship to allied technologies, such as electroencephalography and modern functional imaging modalities. In addition, the book: *introduces the field to the non-specialist, providing a framework for the rest of the book; *provides a thorough review of the physiological basis of MSI; *describes the mathematical bases of MSI--the forward and inverse problems; *outlines new signal processing methods that extract information from single-trial MEG; *depicts the early, as well as the most recent versions of MSI technology; *compares MSI with other imaging methodologies; *describes new paradigms and analysis techniques in applying MSI to study human perception and cognition, which are also applicable to EEG; and *reviews some of the most important results in MSI from the most prominent researchers and laboratories around the world.

Mathematics and Physics of Emerging Biomedical Imaging

Mathematics and Physics of Emerging Biomedical Imaging PDF Author: Committee on the Mathematics and Physics of Emerging Dynamic Biomedical Imaging
Publisher: National Academies Press
ISBN: 0309552923
Category : Science
Languages : en
Pages : 261

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Book Description
This cross-disciplinary book documents the key research challenges in the mathematical sciences and physics that could enable the economical development of novel biomedical imaging devices. It is hoped that the infusion of new insights from mathematical scientists and physicists will accelerate progress in imaging. Incorporating input from dozens of biomedical researchers who described what they perceived as key open problems of imaging that are amenable to attack by mathematical scientists and physicists, this book introduces the frontiers of biomedical imaging, especially the imaging of dynamic physiological functions, to the educated nonspecialist. Ten imaging modalities are covered, from the well-established (e.g., CAT scanning, MRI) to the more speculative (e.g., electrical and magnetic source imaging). For each modality, mathematics and physics research challenges are identified and a short list of suggested reading offered. Two additional chapters offer visions of the next generation of surgical and interventional techniques and of image processing. A final chapter provides an overview of mathematical issues that cut across the various modalities.

Electromagnetics in Magnetic Resonance Imaging

Electromagnetics in Magnetic Resonance Imaging PDF Author: Christopher M. Collins
Publisher: Morgan & Claypool Publishers
ISBN: 1681740834
Category : Medical
Languages : en
Pages : 82

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Book Description
In the past few decades, Magnetic Resonance Imaging (MRI) has become an indispensable tool in modern medicine, with MRI systems now available at every major hospital in the developed world. But for all its utility and prevalence, it is much less commonly understood and less readily explained than other common medical imaging techniques. Unlike optical, ultrasonic, X-ray (including CT), and nuclear medicine-based imaging, MRI does not rely primarily on simple transmission and/or reflection of energy, and the highest achievable resolution in MRI is orders of magnitude smaller that the smallest wavelength involved. In this book, MRI will be explained with emphasis on the magnetic fields required, their generation, their concomitant electric fields, the various interactions of all these fields with the subject being imaged, and the implications of these interactions to image quality and patient safety. Classical electromagnetics will be used to describe aspects from the fundamental phenomenon of nuclear precession through signal detection and MRI safety. Simple explanations and Illustrations combined with pertinent equations are designed to help the reader rapidly gain a fundamental understanding and an appreciation of this technology as it is used today, as well as ongoing advances that will increase its value in the future. Numerous references are included to facilitate further study with an emphasis on areas most directly related to electromagnetics.

Electromagnetic Inverse Applications for Functional Brain Imaging

Electromagnetic Inverse Applications for Functional Brain Imaging PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 4

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Book Description
This is the final report of a one-year, Laboratory Directed Research and Development (LDRD) project at Los Alamos National Laboratory (LANL). This project addresses an important mathematical and computational problem in functional brain imaging, namely the electromagnetic {open_quotes}inverse problem.{close_quotes} Electromagnetic brain imaging techniques, magnetoencephalography (MEG) and electroencephalography (EEG), are based on measurements of electrical potentials and magnetic fields at hundreds of locations outside the human head. The inverse problem is the estimation of the locations, magnitudes, and time-sources of electrical currents in the brain from surface measurements. This project extends recent progress on the inverse problem by combining the use of anatomical constraints derived from magnetic resonance imaging (MRI) with Bayesian and other novel algorithmic approaches. The results suggest that we can achieve significant improvements in the accuracy and robustness of inverse solutions by these two approaches.

Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy

Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy PDF Author: Lorenzo Crocco
Publisher: Springer
ISBN: 3319750070
Category : Technology & Engineering
Languages : en
Pages : 241

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Book Description
This timely book presents innovative technologies for use in the diagnosis, monitoring, and treatment of brain disease. These technologies offer exciting possibilities in the medical field owing to their low-cost, portability and safety. The authors address cerebrovascular diseases such as stroke, ischemia, haemorrhage, and vasospasm, these diseases having an ever-increasing societal relevance due to the global ageing population. The authors describe the potential of novel techniques such as microwave imaging and present innovative modalities for treatment of brain tumours using electromagnetic fields and nano-composites, as well as for monitoring brain temperature during surgery. Finally, Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy addresses the perspectives which arise from multi-modal multi-spectral EM modalities, which make a synergic use of the different portions of the electromagnetic spectrum. This text will be of interest to readers from various different areas, given the fundamental interdisciplinarity of the subject matter. This includes researchers or practitioners in the field of electrical engineering, applied physicists, and applied mathematicians working on imaging applications for biomedical and electromagnetic technologies. Neurologists and radiologists may also find this book of interest, as may graduate students in these areas.

Brain and Human Body Modeling 2020

Brain and Human Body Modeling 2020 PDF Author: Sergey N. Makarov
Publisher: Springer Nature
ISBN: 3030456234
Category : Biomedical engineering
Languages : en
Pages : 395

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Book Description
The 41st Annual International Conference of the IEEE EMBS, took place between July 23 and 27, 2019, in Berlin, Germany. The focus was on "Biomedical engineering ranging from wellness to intensive care." This conference provided an opportunity for researchers from academia and industry to discuss a variety of topics relevant to EMBS and hosted the 4th Annual Invited Session on Computational Human Models. At this session, a bevy of research related to the development of human phantoms was presented, together with a substantial variety of practical applications explored through simulation.

MEG

MEG PDF Author: Peter Hansen
Publisher: Oxford University Press
ISBN: 0199719136
Category : Medical
Languages : en
Pages : 449

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Book Description
Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking of neural activity, making it an invaluable tool for advancing our understanding of brain function. In this comprehensive introduction to MEG, Peter Hansen, Morten Kringelbach, and Riitta Salmelin have brought together the leading researchers to provide the basic tools for planning and executing MEG experiments, as well as analyzing and interpreting the resulting data. Chapters on the basics describe the fundamentals of MEG and its instrumentation, and provide guidelines for designing experiments and performing successful measurements. Chapters on data analysis present it in detail, from general concepts and assumptions to analysis of evoked responses and oscillatory background activity. Chapters on solutions propose potential solutions to the inverse problem using techniques such as minimum norm estimates, spatial filters and beamformers. Chapters on combinations elucidate how MEG can be used to complement other neuroimaging techniques. Chapters on applications provide practical examples of how to use MEG to study sensory processing and cognitive tasks, and how MEG can be used in a clinical setting. These chapters form a complete basic reference source for those interested in exploring or already using MEG that will hopefully inspire them to try to develop new, exciting approaches to designing and analyzing their own studies. This book will be a valuable resource for researchers from diverse fields, including neuroimaging, cognitive neuroscience, medical imaging, computer modelling, as well as for clinical practitioners.