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This unique text presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques. Features: provides a complete framework for the modeling and analysis of noise in MRI, considering different modalities and acquisition techniques; describes noise and signal estimation for MRI from a statistical signal processing perspective; surveys the different methods to remove noise in MRI acquisitions from a practical point of view; reviews different techniques for estimating noise from MRI data in single- and multiple-coil systems for fully sampled acquisitions; examines the issue of noise estimation when accelerated acquisitions are considered, and parallel imaging methods are used to reconstruct the signal; includes appendices covering probability density functions, combinations of random variables used to derive estimators, and useful MRI datasets.
Book Synopsis Statistical Analysis of Noise in MRI by : Santiago Aja-Fernández
Download or read book Statistical Analysis of Noise in MRI written by Santiago Aja-Fernández and published by Springer. This book was released on 2016-07-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques. Features: provides a complete framework for the modeling and analysis of noise in MRI, considering different modalities and acquisition techniques; describes noise and signal estimation for MRI from a statistical signal processing perspective; surveys the different methods to remove noise in MRI acquisitions from a practical point of view; reviews different techniques for estimating noise from MRI data in single- and multiple-coil systems for fully sampled acquisitions; examines the issue of noise estimation when accelerated acquisitions are considered, and parallel imaging methods are used to reconstruct the signal; includes appendices covering probability density functions, combinations of random variables used to derive estimators, and useful MRI datasets.
The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics on the brain,” The New York Times, April 20, 2004; “This is your brain on Hillary: Political neuroscience hits new low,” Wired, November 12,2007),howmen and womenreactto sexualstimulation (“Brain scans arouse researchers,”Wired, April 19, 2004), distinguishing lies from the truth (“Duped,” The New Yorker, July 2, 2007; “Woman convicted of child abuse hopes fMRI can prove her innocence,” Wired, November 5, 2007), and even what separates “cool” people from “nerds” (“If you secretly like Michael Bolton, we’ll know,” Wired, October 2004). Reports on pathologies such as autism, in which neuroimaging plays a large role, are also common (for - stance, a Time magazine cover story from May 6, 2002, entitled “Inside the world of autism”).
Book Synopsis The Statistical Analysis of Functional MRI Data by : Nicole Lazar
Download or read book The Statistical Analysis of Functional MRI Data written by Nicole Lazar and published by Springer Science & Business Media. This book was released on 2008-06-10 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics on the brain,” The New York Times, April 20, 2004; “This is your brain on Hillary: Political neuroscience hits new low,” Wired, November 12,2007),howmen and womenreactto sexualstimulation (“Brain scans arouse researchers,”Wired, April 19, 2004), distinguishing lies from the truth (“Duped,” The New Yorker, July 2, 2007; “Woman convicted of child abuse hopes fMRI can prove her innocence,” Wired, November 5, 2007), and even what separates “cool” people from “nerds” (“If you secretly like Michael Bolton, we’ll know,” Wired, October 2004). Reports on pathologies such as autism, in which neuroimaging plays a large role, are also common (for - stance, a Time magazine cover story from May 6, 2002, entitled “Inside the world of autism”).
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
Book Synopsis Introduction to Functional Magnetic Resonance Imaging by : Richard B. Buxton
Download or read book Introduction to Functional Magnetic Resonance Imaging written by Richard B. Buxton and published by Cambridge University Press. This book was released on 2009-08-27 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Preface... Table of Contents... Contributing Authors... Part I Introduction 1. Recommendations for Preclinical Renal MRI: A Comprehensive Open-Access Protocol Collection to Improve Training, Reproducibility, and Comparability of Studies Andreas Pohlmann, Susan J. Back, Andrea Fekete, Iris Friedli, Stefanie Hectors, Neil Peter Jerome, Min-Chi Ku, Dario Livio Longo, Martin Meier, Jason M. Millward, João S. Periquito, Erdmann Seeliger, Suraj D. Serai, Sonia Waiczies, Steven Sourbron, Christoffer Laustsen, and Thoralf Niendorf Part II Animal Models, Preparation, Monitoring, and Physiological Interventions 2. Animal Models of Renal Pathophysiology and Disease Adam Hosszu, Tamas Kaucsar, Erdmann Seeliger, and Andrea Fekete 3. Preparation and Monitoring of Small Animals in Renal MRI Tamas Kaucsar, Adam Hosszu, Erdmann Seeliger, Henning M. Reimann, and Andrea Fekete 4. Reversible (Patho-)Physiologically Relevant Test Interventions: Rationale and Examples Kathleen Cantow, Mechthild Ladwig-Wiegard, Bert Flemming, Andrea Fekete, Adam Hosszu, Erdmann Seeliger 5. Preparation of Ex Vivo Rodent Phantoms for Developing, Testing, and Training MR Imaging of the Kidney and Other Organs Jason M. Millward, João S. Periquito, Paula Ramos Delgado, Christian Prinz, Thoralf Niendorf, and Sonia Waiczies Part III Basic Concepts of Measurement Techniques 6. Quantitative Assessment of Renal Perfusion and Oxygenation by Invasive Probes: Basic Concepts Kathleen Cantow, Roger G. Evans, Dirk Grosenick, Thomas Gladytz, Thoralf Niendorf, Bert Flemming, and Erdmann Seeliger 7. Ultrasound and Photoacoustic Imaging of the Kidney: Basic Concepts and Protocols Sandra Meyer, Dieter Fuchs, and Martin Meier 8. Hardware Considerations for Preclinical Magnetic Resonance of the Kidney Paula Ramos Delgado, Ekkehard Küstermann, André Kühne, Jason M. Millward, Thoralf Niendorf, Andreas Pohlmann, and Martin Meier 9. MRI Mapping of Renal T1: Basic Concept Stefanie Hectors, Sabrina Doblas, Philippe Garteiser, Gwenaël Pagé, Bernard E. Van Beers, John C. Waterton, and Octavia Bane 10. MRI Mapping of the Blood Oxygenation Sensitive Parameter T2* in the Kidney: Basic Concept Lu-Ping Li, Bradley Hack, Erdmann Seeliger, and Pottumarthi V. Prasad 11. Renal Diffusion Weighted Imaging (DWI) for Apparent Diffusion Coefficient (ADC), Intra Voxel Incoherent Motion (IVIM), and Diffusion Tensor Imaging (DTI): Basic Concept Neil Peter Jerome, Anna Caroli, and Alexandra Ljimani 12. Dynamic Contrast Enhancement (DCE)-MRI Derived Renal Perfusion and Filtration: Basic Concepts Michael Pedersen, Pietro Irrera, Walter Dastrù, Frank G. Zöllner, Kevin M. Bennett, Scott C. Beeman, G. Larry Bretthorst, Joel R. Garbow, and Dario Livio Longo 13. Non-Invasive Renal Perfusion Measurement Using Arterial Spin Labelling (ASL) MRI: Basic Concept Min-Chi Ku, María A. Fernández-Seara, Frank Kober, and Thoralf Niendorf 14. Renal pH Imaging Using Chemical Exchange Saturation Transfer (CEST)-MRI: Basic Concepts Dario Livio Longo, Pietro Irrera, Lorena Consolino, Phillip Zhe Sun, and Michael T. McMahon 15. Sodium (23Na) MRI of the Kidney: Basic Concept James T. Grist, Esben Søvsø Hansen, Frank G. Zöllner, and Christoffer Laustsen 16. Hyperpolarized Carbon (13C) MRI of the Kidneys: Basic Concepts Cornelius von Morze, Galen D. Reed, Zhen J. Wang, Michael A. Ohliger, and Christoffer Laustsen 17. Functional Imaging Using Fluorine (19F) MR Methods: Basic Concepts Sonia Waiczies, Christian Prinz, Ludger Starke, Jason M. Millward, Paula Ramos Delgado, Jens Rosenberg, Marc Nazaré, Helmar Waiczies, Andreas Pohlmann, and Thoralf Niendorf 18. MR Elastography of the Abdomen: Basic Concepts Suraj D. Serai and Meng Yin Part IV Experimental Protocols 19. Monitoring Renal H
Book Synopsis Preclinical MRI of the Kidney by : Andreas Pohlmann
Download or read book Preclinical MRI of the Kidney written by Andreas Pohlmann and published by Humana. This book was released on 2022-02-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preface... Table of Contents... Contributing Authors... Part I Introduction 1. Recommendations for Preclinical Renal MRI: A Comprehensive Open-Access Protocol Collection to Improve Training, Reproducibility, and Comparability of Studies Andreas Pohlmann, Susan J. Back, Andrea Fekete, Iris Friedli, Stefanie Hectors, Neil Peter Jerome, Min-Chi Ku, Dario Livio Longo, Martin Meier, Jason M. Millward, João S. Periquito, Erdmann Seeliger, Suraj D. Serai, Sonia Waiczies, Steven Sourbron, Christoffer Laustsen, and Thoralf Niendorf Part II Animal Models, Preparation, Monitoring, and Physiological Interventions 2. Animal Models of Renal Pathophysiology and Disease Adam Hosszu, Tamas Kaucsar, Erdmann Seeliger, and Andrea Fekete 3. Preparation and Monitoring of Small Animals in Renal MRI Tamas Kaucsar, Adam Hosszu, Erdmann Seeliger, Henning M. Reimann, and Andrea Fekete 4. Reversible (Patho-)Physiologically Relevant Test Interventions: Rationale and Examples Kathleen Cantow, Mechthild Ladwig-Wiegard, Bert Flemming, Andrea Fekete, Adam Hosszu, Erdmann Seeliger 5. Preparation of Ex Vivo Rodent Phantoms for Developing, Testing, and Training MR Imaging of the Kidney and Other Organs Jason M. Millward, João S. Periquito, Paula Ramos Delgado, Christian Prinz, Thoralf Niendorf, and Sonia Waiczies Part III Basic Concepts of Measurement Techniques 6. Quantitative Assessment of Renal Perfusion and Oxygenation by Invasive Probes: Basic Concepts Kathleen Cantow, Roger G. Evans, Dirk Grosenick, Thomas Gladytz, Thoralf Niendorf, Bert Flemming, and Erdmann Seeliger 7. Ultrasound and Photoacoustic Imaging of the Kidney: Basic Concepts and Protocols Sandra Meyer, Dieter Fuchs, and Martin Meier 8. Hardware Considerations for Preclinical Magnetic Resonance of the Kidney Paula Ramos Delgado, Ekkehard Küstermann, André Kühne, Jason M. Millward, Thoralf Niendorf, Andreas Pohlmann, and Martin Meier 9. MRI Mapping of Renal T1: Basic Concept Stefanie Hectors, Sabrina Doblas, Philippe Garteiser, Gwenaël Pagé, Bernard E. Van Beers, John C. Waterton, and Octavia Bane 10. MRI Mapping of the Blood Oxygenation Sensitive Parameter T2* in the Kidney: Basic Concept Lu-Ping Li, Bradley Hack, Erdmann Seeliger, and Pottumarthi V. Prasad 11. Renal Diffusion Weighted Imaging (DWI) for Apparent Diffusion Coefficient (ADC), Intra Voxel Incoherent Motion (IVIM), and Diffusion Tensor Imaging (DTI): Basic Concept Neil Peter Jerome, Anna Caroli, and Alexandra Ljimani 12. Dynamic Contrast Enhancement (DCE)-MRI Derived Renal Perfusion and Filtration: Basic Concepts Michael Pedersen, Pietro Irrera, Walter Dastrù, Frank G. Zöllner, Kevin M. Bennett, Scott C. Beeman, G. Larry Bretthorst, Joel R. Garbow, and Dario Livio Longo 13. Non-Invasive Renal Perfusion Measurement Using Arterial Spin Labelling (ASL) MRI: Basic Concept Min-Chi Ku, María A. Fernández-Seara, Frank Kober, and Thoralf Niendorf 14. Renal pH Imaging Using Chemical Exchange Saturation Transfer (CEST)-MRI: Basic Concepts Dario Livio Longo, Pietro Irrera, Lorena Consolino, Phillip Zhe Sun, and Michael T. McMahon 15. Sodium (23Na) MRI of the Kidney: Basic Concept James T. Grist, Esben Søvsø Hansen, Frank G. Zöllner, and Christoffer Laustsen 16. Hyperpolarized Carbon (13C) MRI of the Kidneys: Basic Concepts Cornelius von Morze, Galen D. Reed, Zhen J. Wang, Michael A. Ohliger, and Christoffer Laustsen 17. Functional Imaging Using Fluorine (19F) MR Methods: Basic Concepts Sonia Waiczies, Christian Prinz, Ludger Starke, Jason M. Millward, Paula Ramos Delgado, Jens Rosenberg, Marc Nazaré, Helmar Waiczies, Andreas Pohlmann, and Thoralf Niendorf 18. MR Elastography of the Abdomen: Basic Concepts Suraj D. Serai and Meng Yin Part IV Experimental Protocols 19. Monitoring Renal H
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.
Book Synopsis Handbook of Functional MRI Data Analysis by : Russell A. Poldrack
Download or read book Handbook of Functional MRI Data Analysis written by Russell A. Poldrack and published by Cambridge University Press. This book was released on 2011-08-22 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
This book constitutes the refereed proceedings of the First International SIPAIM Workshop on Processing and Analysis of Biomedical Information, SaMBa 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 14 full papers presented were carefully reviewed and selected for inclusion in this volume. The papers cover the following topics: Medical imaging, Digital pathology, E-health, and Motor analysis and biosignals. The purpose was to present success stories of science, research and innovation stemming from Latin American and to encourage the formation of international academic networks in biomed- ical research with a strong component in medical information processing.
Book Synopsis Processing and Analysis of Biomedical Information by : Natasha Lepore
Download or read book Processing and Analysis of Biomedical Information written by Natasha Lepore and published by Springer. This book was released on 2019-03-07 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International SIPAIM Workshop on Processing and Analysis of Biomedical Information, SaMBa 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 14 full papers presented were carefully reviewed and selected for inclusion in this volume. The papers cover the following topics: Medical imaging, Digital pathology, E-health, and Motor analysis and biosignals. The purpose was to present success stories of science, research and innovation stemming from Latin American and to encourage the formation of international academic networks in biomed- ical research with a strong component in medical information processing.
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.
Book Synopsis Magnetic Resonance Brain Imaging by : Jörg Polzehl
Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2019-09-25 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Magnetic Resonance Brain Imaging by : Jörg Polzehl
Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2023-11-12 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Professor Derek Jones, a world authority on diffusion MRI, has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce an authorship list that reads like a "Who's Who" of the field and an essential resource for those working with diffusion MRI. Destined to be a modern classic, this definitive and richly illustrated work covers all aspects of diffusion MRI from basic theory to clinical application. Oxford Clinical Neuroscience is a comprehensive, cross-searchable collection of resources offering quick and easy access to eleven of Oxford University Press's prestigious neuroscience texts. Joining Oxford Medicine Online these resources offer students, specialists and clinical researchers the best quality content in an easy-to-access format.
Book Synopsis Diffusion MRI by : Derek K Jones
Download or read book Diffusion MRI written by Derek K Jones and published by Oxford University Press. This book was released on 2010-11-11 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Derek Jones, a world authority on diffusion MRI, has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce an authorship list that reads like a "Who's Who" of the field and an essential resource for those working with diffusion MRI. Destined to be a modern classic, this definitive and richly illustrated work covers all aspects of diffusion MRI from basic theory to clinical application. Oxford Clinical Neuroscience is a comprehensive, cross-searchable collection of resources offering quick and easy access to eleven of Oxford University Press's prestigious neuroscience texts. Joining Oxford Medicine Online these resources offer students, specialists and clinical researchers the best quality content in an easy-to-access format.
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.
Book Synopsis Mathematics and Physics of Emerging Biomedical Imaging by : Committee on the Mathematics and Physics of Emerging Dynamic Biomedical Imaging
Download or read book Mathematics and Physics of Emerging Biomedical Imaging written by Committee on the Mathematics and Physics of Emerging Dynamic Biomedical Imaging and published by National Academies Press. This book was released on 1996-03-13 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
