Choice Recommended Title, April 2021 Bioimaging: Imaging by Light and Electromagnetics in Medicine and Biology explores new horizons in biomedical imaging and sensing technologies, from the molecular level to the human brain. It explores the most up-to-date information on new medical imaging techniques, such as the detection and imaging of cancer and brain diseases. This book also provides new tools for brain research and cognitive neurosciences based on new imaging techniques. Edited by Professor Shoogo Ueno, who has been leading the field of biomedical imaging for 40 years, it is an ideal reference book for graduate and undergraduate students and researchers in medicine and medical physics who are looking for an authoritative treatise on this expanding discipline of imaging and sensing in medicine and biology. Features: Provides step-by-step explanations of biochemical and physical principles in biomedical imaging Covers state-of-the art equipment and cutting-edge methodologies used in biomedical imaging Serves a broad spectrum of readers due to the interdisciplinary topic and approach Shoogo Ueno, Ph.D, is a professor emeritus of the University of Tokyo, Tokyo, Japan. His research interests include biomedical imaging and bioelectromagnetics, particularly in brain mapping and neuroimaging, transcranial magnetic stimulation (TMS), and magnetic resonance imaging (MRI). He was the President of the Bioelectromagnetics Society, BEMS (2003-2004) and the Chairman of the Commission K on Electromagnetics in Biology and Medicine of the International Union of Radio Science, URSI (2000-2003). He was named the IEEE Magnetics Society Distinguished Lecturer during 2010 and received the d'Arsonval Medal from the Bioelectromagnetics Society in 2010.

The critical care unit is an intense clinical environment with huge responsibilities on the professionals caring for these patients. Imaging is a key source of diagnostic information, but the conditions in which diagnostic imaging has to be performed are often extremely challenging and significantly different to imaging in the non acute setting. Imaging the ICU Patient reviews imaging procedures on the ICU in a highly practical and memorable manner. Swift and efficient clinical decision-making is rewarded on the ICU and this book serves as a practical handbook.

Imaging in Movement Disorders: Imaging in Movement Disorder Dementias and Rapid Eye Movement Sleep Behavior Disorder, Volume 144 provides an up-to-date textbook on the use of imaging modalities across the spectrum of movement disorders and dementias. The book brings together lessons learned from neuroimaging tools in the content of movement disorders, including chapters on Molecular Imaging of Dementia with Lewy Bodies, Structural and Functional Magnetic Resonance Imaging of Dementia with Lewy Bodies, Network Imaging in Parkinsonian and Other Movement Disorders: Network Dysfunction and Clinical Correlates, Neuroimaging of Rapid Eye Movement Sleep Behavior Disorder, Hybrid PET-MRI Applications in Movement Disorders, and more.

Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis. Today, image-guided computer-assisted diagnostics (CAD) faces two basic challenging problems. The first is the computationally feasible and accurate modeling of images from different modalities to obtain clinically useful information. The second is the accurate and fast inferring of meaningful and clinically valid CAD decisions and/or predictions on the basis of model-guided image analysis. To help address this, this book details original stochastic appearance and shape models with computationally feasible and efficient learning techniques for improving the performance of object detection, segmentation, alignment, and analysis in a number of important CAD applications. The book demonstrates accurate descriptions of visual appearances and shapes of the goal objects and their background to help solve a number of important and challenging CAD problems. The models focus on the first-order marginals of pixel/voxel-wise signals and second- or higher-order Markov-Gibbs random fields of these signals and/or labels of regions supporting the goal objects in the lattice. This valuable resource presents the latest state of the art in stochastic modeling for medical image analysis while incorporating fully tested experimental results throughout.

This book explains in detail the potential value of the hybrid modalities, SPECT-CT and PET-CT, in the imaging of cardiac innervation in a wide range of conditions and diseases, including ischemic heart disease, diabetes mellitus, heart failure, amyloidosis, heart transplantation, and ventricular arrhythmias. Imaging of the brain-heart axis in neurodegenerative disease and stress and of cardiotoxicity is also discussed. The roles of the various available tracers are fully considered, and individual chapters address radiopharmaceutical development under GMP, imaging physics, and kinetic modeling software. Highly relevant background information is included on the autonomic nervous system of the heart and its pathophysiology, and in addition future perspectives are discussed. Awareness of the importance of autonomic innervation of the heart for the optimal management of cardiac patients is growing, and there is an evident need for objective measurement techniques or imaging modalities. In this context, Autonomic Innervation of the Heart will be of wide interest to clinicians, researchers, and industry.

Highly Commended at the British Medical Association Book Awards 2016 MRI at a Glance encapsulates essential MRI physics knowledge. Illustrated in full colour throughout, its concise text explains complex information, to provide the perfect revision aid. It includes topics ranging from magnetism to safety, K space to pulse sequences, and image contrast to artefacts. This third edition has been fully updated, with revised diagrams and new pedagogy, including 55 key points, tables, scan tips, equations, and learning points. There is also an expanded glossary and new appendices on optimizing image quality, parameters and trade-offs. A companion website is also available at www.ataglanceseries.com/mri featuring animations, interactive multiple choice questions, and scan tips to improve your own MRI technique. MRI at a Glance is ideal for student radiographers and MRI technologists, especially those undertaking the American Registry of Radiation Technologist (ARRT) MRI examination, as well as other health professionals involved in MRI.

This book chiefly addresses the analysis and design of geosynchronous synthetic aperture radar (GEO SAR) systems, focusing on the algorithms, analysis, methods used to compensate for ionospheric influences, and validation experiments for Global Navigation Satellite Systems (GNSS). Further, it investigates special problems in the GEO SAR context, such as curved trajectories, the Earth's rotation, the 'non-stop-and-go' model, high-order Doppler parameters, temporal-variant ionospheric errors etc. These studies can also be extended to SAR with very high resolution and long integration time. Given the breadth and depth of its coverage, scientists and engineers in SAR and advanced graduate students in related areas will greatly benefit from this book.

-Presents a practical, case-based approach -Includes real clinical problems and examples, with worked through solutions -Written in an accessible and student friendly manner

While researchers with Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT) essentially addressed questions from the whole spectrum of cardiology, oncology, and the neurosciences, it was most notably the latter that provided completely new insights into physiological and disturbed human brain function. In Molecular Imaging in the Clinical Neurosciences, experts in the field provide the reader with up-to-date information on the basic principles of molecular imaging and its major applications in the clinical neurosciences. Beginning with a section offering a comprehensive review of the methodological foundations from physics, chemistry, and mathematics including mathematical modeling, essential for meaningful data analysis, this detailed volume then continues with sections on the major biological principles and neurochemical targets relevant in current neuroimaging research and the major clinical applications from the fields of psychiatry and neurology. Written for the popular Neuromethods series, this work contains the kind of key description and implementation advice that guarantees successful results. Authoritative and cutting-edge, Molecular Imaging in the Clinical Neurosciences serves as a helpful source of knowledge for both basic and clinical scientists from psychology, psychiatry, neurology, nuclear medicine, nuclear chemistry, and the associated disciplines, all of which makes molecular imaging such a rewarding, interdisciplinary field of work.

Synapses underlie rapid and flexible neural communication in the brain and they hold the key to understanding higher brain functions in health and disease. Because they are very small and highly dynamic, it is very difficult to study them with traditional techniques. Fortunately, recent ground-breaking advances in optical microscopy (e.g. STED, PALM, STORM, SIM) have greatly improved our ability to image living synapses at the nanoscale, even down to the level of single molecules. The proposed volume brings together leading researchers to review these exciting new techniques and their application in neurobiological research. It will explain and discuss the basic principles behind the various superresolution modalities, how they are implemented, what their scope and limitations are etc. In addition, several key research discoveries on synapses enabled by these novel approaches will be highlighted.

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.

This third volume in the successful 'Drug Discovery in Infectious Diseases' series is the first to deal with drug discovery in helminthic infections in human and animals. The result is a broad overview of different drug target evaluation methods, including specific examples of successful drug development against helminthes, and with a whole section devoted to vaccine development.
With its well-balanced mix of high-profile contributors from academia and industry, this handbook and reference will appeal to a wide audience, including parasitologists, pharmaceutical industry, epidemiologists, and veterinary scientists.

From Roentgen to Rembrandt, Hounsfield to Hollywood and Vesalius to videogames, Imagining Imaging explores the deeply entwined relationship between art (and visual-based culture) and radiology / medical imaging. Including artworks from numerous historical eras representing varied geographic locations and visual traditions, alongside a diverse range of contemporary artists, Dr Jackson argues that the foundations of medical image construction and interpretation were laid down in artistic innovations dating back hundreds and thousands of years. Since the discovery of X-rays, artists and moviemakers have, in turn, drawn rich inspiration from radiographic imagery and concepts, but the process of cross-pollination between art and science has continued, with creative endeavour continuing to mould medical imaging examinations to this day. Blending a unique mix of art, science and medical history, together with aspects of visual neurophysiology and psychology, Imagining Imaging is essential reading for radiologists, radiographers and artists alike. Peppered with familiar TV and film references, personal insights into the business of image interpretation, and delivered in an accessible and humorous style, the book will also appeal to anyone who enjoys looking at pictures. Key features: Engaging synthesis of art and medical history, combined with anecdotes and experiences from a working clinical radiologist Diverse range of visual reference points including astronomy, botany and cartography, alongside comprehensive discussion of medical imaging modalities including plain radiography, ultrasound, CT and MRI 200 full colour illustrations

From Roentgen to Rembrandt, Hounsfield to Hollywood and Vesalius to videogames, Imagining Imaging explores the deeply entwined relationship between art (and visual-based culture) and radiology / medical imaging. Including artworks from numerous historical eras representing varied geographic locations and visual traditions, alongside a diverse range of contemporary artists, Dr Jackson argues that the foundations of medical image construction and interpretation were laid down in artistic innovations dating back hundreds and thousands of years. Since the discovery of X-rays, artists and moviemakers have, in turn, drawn rich inspiration from radiographic imagery and concepts, but the process of cross-pollination between art and science has continued, with creative endeavour continuing to mould medical imaging examinations to this day. Blending a unique mix of art, science and medical history, together with aspects of visual neurophysiology and psychology, Imagining Imaging is essential reading for radiologists, radiographers and artists alike. Peppered with familiar TV and film references, personal insights into the business of image interpretation, and delivered in an accessible and humorous style, the book will also appeal to anyone who enjoys looking at pictures. Key features: Engaging synthesis of art and medical history, combined with anecdotes and experiences from a working clinical radiologist Diverse range of visual reference points including astronomy, botany and cartography, alongside comprehensive discussion of medical imaging modalities including plain radiography, ultrasound, CT and MRI 200 full colour illustrations

The current textbooks for specialists are too detailed. This book will be a handy pocket guide for trainee vascular radiologists, and will serve as an aide-memoire for senior vascular radiologists. Each procedure will be shown in its entirety. Rather than being a library purchase, this book will be a handy and accessible guide for quick reference aimed at clinical interventional radiologists in multidisciplinary staff rooms and angiography suites.

The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.

Volume 13: Pineal, Pituitary, and Spinal Tumors is organized in six sections, for convenience and quick access to critical information. Section I, Types of Tumors includes a chapter on molecular characterization of Embryonal tumors, a chapter on diagnosis of metastatic oligodendroglioma using fine-needle aspiration cytology, one covering intra-arterial chemotherapy of oligodendroglial tumors and another on the role of cyclooxygenase-2 in the development and growth of Schwannomas, and others, closing with a chapter on trigeminal neuralgia with cerebellopontine angle tumors. Section II, Diagnosis, includes two chapters on cell counting in histopathologic slides of tumors. Section III offers three chapters which discuss aspects of intraoperative ultrasonography. Section IV covers brain tumor surgery, and Section V surveys Brain Metastasis. The final section offers a wide-ranging review of General Diseases, with chapters on, among others, Alexander Disease; Lipoma; Transplantation of human umbilical cord blood mononuclear cells in cases of neonatal hypoxic-ischemic brain damage; and a chapter discussing the use of mobile phones and brain cancer risk in children. Like its twelve predecessors in the series, this volume merits distinction for its thorough approach, its roster of 78 distinguished contributors representing 14 different countries and its detailed examination of leading-edge technology and methods.

The latest in this already classic series presents recent progress and detailed descriptions of standard procedures, to assist young neurosurgeons in their post-graduate training. With contributions from experienced European and American clinicians.

Podrid's Real-World ECGs: A Master's Approach to the Art and Practice of Clinical ECG Interpretation Podrid's Real-World ECGs combines traditional case-based workbooks with a versatile Web-based program to offer students, health care professionals, and physicians an indispensable resource for developing and honing the technical skills and systematic approach needed to interpret ECGs with confidence. ECGs from real patient cases offer a complete and in-depth learning experience by focusing on fundamental electrophysiologic properties and clinical concepts as well as detailed discussion of important diagnostic findings and relevant management decisions. Six comprehensive volumes encompass more than 600 individual case studies--plus an online repository of hundreds more interactive case studies (www.realworldECGs.com)--that include feedback and discussion about the important waveforms and clinical decision-making involved. From an introductory volume that outlines the approaches and tools utilized in the analysis of all ECGs to subsequent volumes covering particular disease entities for which the ECG is useful, readers will take away the in-depth knowledge needed to successfully interpret the spectrum of routine to challenging ECGs they will encounter in their own clinical practice. Volume 2, Myocardial Abnormalities, breaks down the essential skills necessary for diagnosing acute myocardial ischemia as well as acute and chronic myocardial infarction--arguably the most important component of the ECG armamentarium across the spectrum of health care professions. It also demonstrates the skills needed for the diagnosis of myocardial hypertrophy, atrial abnormality, and pericarditis.

Get Through FRCR Part 1: MCQs and Mock Examination is the essential and highly praised revision aid for the Royal College of Radiologists' FRCR Part 1 exam. Providing comprehensive coverage of the new FRCR Part 1 syllabus, this title presents questions in a similar style to the exam, accompanied by detailed yet uncomplicated explanations. Paying special attention to legislation, this book also covers recent advances in the field and radiation protection issues. Get Through FRCR Part 1 is ideal for FRCR candidates and tutors, radiographers, radiologists and medical physics students.

Within the field of neuroscience, the past few decades have witnessed an exponential growth of research into the brain mechanisms underlying both normal and pathological states of consciousness in humans. The development of sophisticated imaging techniques to visualize and map brain activity in vivo has opened new avenues in our understanding of the pathological processes involved in common neuropsychiatric disorders affecting consciousness, such as epilepsy, coma, vegetative states, dissociative disorders, and dementia. This book presents the state of the art in neuroimaging exploration of the brain correlates of the alterations in consciousness across these conditions, with a particular focus on the potential applications for diagnosis and management. Although the book has a practical approach and is primarily targeted at neurologists, neuroradiologists, and psychiatrists, it will also serve as an essential reference for a wide range of researchers and health care professionals.

The purpose of this monograph is both to introduce and review developed tomograhic methods for discovering 2D and 3D structures of the ionosphere and to discuss the experimental implementation of these methods. The theoretical part deals with the solution of the inverse problem of diffraction tomography for a wide range of properties of ionospheric media. Examples are given to illustrate the experimental reconstruction of electron-density distributions in ionospheric sections. In addition to addressing the specialist researcher, the detailed derivations and explanations make this book an excellent starting point for nonspecialists and graduate students who wish to enter this exciting new field to which the authors have made pioneering contributions.

Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease development, including application to clinical medicine. It provides a unique overview of the field, beginning with a review of the origins of artificial intelligence in the mid-1970s and progressing to its application to clinical medicine in the early 2020s. Organized based on the four stages of development, this practical, easy-to-use resource helps you effectively apply artificial intelligences to lung imaging. Traces the development of precise quantitative CT of diffuse lung disease through the use of applied AI, leading to faster effective diagnosis of patients with lung disease. Reviews CT manufacturers, models and scanning protocol used to produce the 3D digital maps of the lungs. Discusses how the data processed by AI algorithms can produce measures of emphysema, air trapping, and airway wall thickening in subjects with COPD and measures of pulmonary fibrosis and traction bronchiectasis in idiopathic pulmonary fibrosis (IPF). Demonstrates the differences between reactive machine AI and limited memory AI methods. Includes comprehensive case studies and current information on cloud computing. An eBook version is included with purchase. The eBook allows you to access all of the text, figures and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud.

This book covers the main mathematical and numerical models in computational electrocardiology, ranging from microscopic membrane models of cardiac ionic channels to macroscopic bidomain, monodomain, eikonal models and cardiac source representations. These advanced multiscale and nonlinear models describe the cardiac bioelectrical activity from the cell level to the body surface and are employed in both the direct and inverse problems of electrocardiology. The book also covers advanced numerical techniques needed to efficiently carry out large-scale cardiac simulations, including time and space discretizations, decoupling and operator splitting techniques, parallel finite element solvers. These techniques are employed in 3D cardiac simulations illustrating the excitation mechanisms, the anisotropic effects on excitation and repolarization wavefronts, the morphology of electrograms in normal and pathological tissue and some reentry phenomena. The overall aim of the book is to present rigorously the mathematical and numerical foundations of computational electrocardiology, illustrating the current research developments in this fast-growing field lying at the intersection of mathematical physiology, bioengineering and computational biomedicine. This book is addressed to graduate student and researchers in the field of applied mathematics, scientific computing, bioengineering, electrophysiology and cardiology.