Multimodal Imaging In Neurology
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Multimodal Imaging In Neurology
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Author : Hans-Peter Müller
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2008
Multimodal Imaging In Neurology written by Hans-Peter Müller and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Brain categories.
The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodal multimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). The multimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles or tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated.
Multimodal Imaging In Neurology Special Focus On Mri Applications And Meg
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Author : Hans-Peter Müller (Dr. rer. nat.)
language : en
Publisher:
Release Date : 2008
Multimodal Imaging In Neurology Special Focus On Mri Applications And Meg written by Hans-Peter Müller (Dr. rer. nat.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Brain categories.
The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodalmultimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). Themultimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles/tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated.
Neuroimaging
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Author : Yongxia Zhou
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-06-24
Neuroimaging written by Yongxia Zhou and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-24 with Medical categories.
In vivo brain neuroimaging with cutting-edge technologies has achieved great success with high spatial and temporal resolutions. Several distinct medical imaging perspectives such as disease neurobiology, multimodal imaging techniques and applications, large-size clinical trials of neuro-oncology, and bioinformatics with illustrative examples and comprehensive summaries could expand our knowledge of neuroimaging mechanism, methodologies, and applications. This book highlights the possibility and achievement of early detection and multiple neuroimaging biomarkers based on various features for pathophysiological probing and therapeutic prevention. It examines the use of neuroimaging techniques such as magnetic resonance imaging (MRI), electroencephalography (EEG), and near-infrared resonance spectroscopy (NIRS) with specific and innovative biomedical applications. It provides thorough reviews, accurate descriptions, and confirmative evidences of many related important research topics together with up-to-date imaging network management.
Image Fusion In Preclinical Applications
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Author : Claudia Kuntner-Hannes
language : en
Publisher: Springer
Release Date : 2018-12-22
Image Fusion In Preclinical Applications written by Claudia Kuntner-Hannes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-22 with Medical categories.
This book provides an accessible and comprehensive overview of the state of the art in multimodal, multiparametric preclinical imaging, covering all the modalities used in preclinical research. The role of different combinations of PET, CT, MR, optical, and optoacoustic imaging methods is examined and explained for a range of applications, from research in oncology, neurology, and cardiology to drug development. Examples of animal studies are highlighted in which multimodal imaging has been pivotal in delivering otherwise unobtainable information. Hardware and software image registration methods and animal-specific factors are also discussed. The readily understandable text is enhanced by numerous informative illustrations that help the reader to appreciate the similarities to, but also the differences from, clinical applications. Image Fusion in Preclinical Applications will be of interest to all who wish to learn more about the use of multimodal/multiparametric imaging as a tool for in vivo investigations in preclinical medical and pharmaceutical research.
Imaging Anatomy Brain And Spine
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Author : Anne G. Osborn
language : en
Publisher: Elsevier Health Sciences
Release Date : 2020-04-28
Imaging Anatomy Brain And Spine written by Anne G. Osborn and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with Medical categories.
This richly illustrated and superbly organized text/atlas is an excellent point-of-care resource for practitioners at all levels of experience and training. Written by global leaders in the field, Imaging Anatomy: Brain and Spine provides a thorough understanding of the detailed normal anatomy that underlies contemporary imaging. This must-have reference employs a templated, highly formatted design; concise, bulleted text; and state-of- the-art images throughout that identify the clinical entities in each anatomic area. Features more than 2,500 high-resolution images throughout, including 7T MR, fMRI, diffusion tensor MRI, and multidetector row CT images in many planes, combined with over 300 correlative full-color anatomic drawings that show human anatomy in the projections that radiologists use. Covers only the brain and spine, presenting multiplanar normal imaging anatomy in all pertinent modalities for an unsurpassed, comprehensive point-of-care clinical reference. Incorporates recent, stunning advances in imaging such as 7T and functional MR imaging, surface and segmented anatomy, single-photon emission computed tomography (SPECT) scans, dopamine transporter (DAT) scans, and 3D quantitative volumetric scans. Places 7T MR images alongside 3T MR images to highlight the benefits of using 7T MR imaging as it becomes more widely available in the future. Presents essential text in an easy-to-digest, bulleted format, enabling imaging specialists to find quick answers to anatomy questions encountered in daily practice.
Application Of Multimodal Imaging Combined With Artificial Intelligence In Eye Diseases
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Author : Xin Huang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-10-18
Application Of Multimodal Imaging Combined With Artificial Intelligence In Eye Diseases written by Xin Huang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Science categories.
Multimodal Imaging In Neurology
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Author : Hans-Peter Müller
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Multimodal Imaging In Neurology written by Hans-Peter Müller and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodal multimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). The multimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles or tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated. Table of Contents: Introduction / Neurological Measurement Techniques and First Steps of Postprocessing / Coordinate Transformation / Examples for Multimodal Imaging / Clinical Aspects of Multimodal Imaging / References / Biography
Probing Brain Behavior Relationship With Multimodal Imaging Methods And Clinical Applications
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Author : Bin Jing
language : en
Publisher: Frontiers Media SA
Release Date : 2024-04-10
Probing Brain Behavior Relationship With Multimodal Imaging Methods And Clinical Applications written by Bin Jing and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Science categories.
Nowadays, exploring the brain-behavior relationship via MRI, EEG, fNIRS, and MEG has become a research hotspot further accelerated by the emergence of large-sample open-source datasets, such as UK Biobank, Human Connectome Project, the Adolescent Brain Cognitive Development, the National Institute of Mental Health (NIMH) Intramural Healthy Volunteer Dataset, the TUH EEG CORPUS, and many other multimodal datasets. Many prior studies have conducted various prediction tasks in different populations (from infants to adults; from healthy subjects to patients) with miscellaneous imaging modalities, however, to construct a precise, generalizable, and reproducible brain-behavior relationship is still facing many challenges, for example, individual variability, multi-site heterogeneity, imaging result interpretability, model generalization, low prediction performance, and lack of clinical applications
Imaging Anatomy Brain And Spine
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Author : Anne G. Osborn
language : en
Publisher: Elsevier
Release Date : 2020-04-24
Imaging Anatomy Brain And Spine written by Anne G. Osborn and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-24 with Medical categories.
This richly illustrated and superbly organized text/atlas is an excellent point-of-care resource for practitioners at all levels of experience and training. Written by global leaders in the field, Imaging Anatomy: Brain and Spine provides a thorough understanding of the detailed normal anatomy that underlies contemporary imaging. This must-have reference employs a templated, highly formatted design; concise, bulleted text; and state-of- the-art images throughout that identify the clinical entities in each anatomic area. Features more than 2,500 high-resolution images throughout, including 7T MR, fMRI, diffusion tensor MRI, and multidetector row CT images in many planes, combined with over 300 correlative full-color anatomic drawings that show human anatomy in the projections that radiologists use. Covers only the brain and spine, presenting multiplanar normal imaging anatomy in all pertinent modalities for an unsurpassed, comprehensive point-of-care clinical reference. Incorporates recent, stunning advances in imaging such as 7T and functional MR imaging, surface and segmented anatomy, single-photon emission computed tomography (SPECT) scans, dopamine transporter (DAT) scans, and 3D quantitative volumetric scans. Places 7T MR images alongside 3T MR images to highlight the benefits of using 7T MR imaging as it becomes more widely available in the future. Presents essential text in an easy-to-digest, bulleted format, enabling imaging specialists to find quick answers to anatomy questions encountered in daily practice. Includes the Expert ConsultT version of the book, allowing you to search all the text, figures, and references on a variety of devices.
Spatiotemporal Techniques In Multimodal Imaging For Brain Mapping And Epilepsy
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Author : Daniel Mordechai Goldenholz
language : en
Publisher:
Release Date : 2006
Spatiotemporal Techniques In Multimodal Imaging For Brain Mapping And Epilepsy written by Daniel Mordechai Goldenholz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Abstract: This thesis explored multimodal brain imaging using advanced spatiotemporal techniques. The first set of experiments were based on simulations. Much controversy exists in the literature regarding the differences between magnetoencephalography (MEG) and electroencephalography (EEG), both practically and theoretically. The differences were explored using simulations that evaluated the expected signal-to-noise ratios from reasonable brain sources. MEG and EEG were found to be complementary, with each modality optimally suited to image activity from different areas of the cortical surface. Consequently, evaluations of epileptic patients and general neuroscience experiments will both benefit from simultaneously collected MEG/EEG. The second set of experiments represent an example of MEG combined with magnetic resonance imaging (MRI) and functional MRI (fMRI) applied to healthy subjects. The study set out to resolve two questions relating to shape perception. First, does the brain activate functional areas sequentially during shape perception, as has been suggested in recent literature? Second, which, if any, functional areas are active time-locked with reaction-time? The study found that functional areas are non-sequentially activated, and that area IT is active time-locked with reaction-time. These two points, coupled with the method for multimodal integration, can help further develop our understanding of shape perception in particular, and cortical dynamics in general for healthy subjects. Broadly, these two studies represent practical guidelines for epilepsy evaluations and brain mapping studies. For epilepsy studies, clinicians could combine MEG and EEG to maximize the probability of finding the source of seizures. For brain mapping in general, EEG, MEG, MRI and fMRI can be combined in the methods outlined here to obtain more sophisticated views of cortical dynamics.