Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

MRI in Practice continues to be the number one reference book and study guide for the registry review examination for MRI offered by the American Registry for Radiologic Technologists (ARRT). This latest edition offers in-depth chapters covering all core areas, including: basic principles, image weighting and contrast, spin and gradient echo pulse sequences, spatial encoding, k-space, protocol optimization, artefacts, instrumentation, and MRI safety. The leading MRI reference book and study guide. Now with a greater focus on the physics behind MRI. Offers, for the first time, equations and their explanations and scan tips. Brand new chapters on MRI equipment, vascular imaging and safety. Presented in full color, with additional illustrations and high-quality MRI images to aid understanding. Includes refined, updated and expanded content throughout, along with more learning tips and practical applications. Features a new glossary. MRI in Practice is an important text for radiographers, technologists, radiology residents, radiologists, and other students and professionals working within imaging, including medical physicists and nurses.

The second edition of Rad Tech's Guide to MRI provides practicing and training technologists with a succinct overview of magnetic resonance imaging (MRI). Designed for quick reference and examination preparation, this pocket-size guide covers the fundamental principles of electromagnetism, MRI equipment, data acquisition and processing, image quality and artifacts, MR Angiography, Diffusion/Perfusion, and more. Written by an expert practitioner and educator, this handy reference guide: Provides essential MRI knowledge in a single portable, easy-to-read guide Covers instrumentation and MRI hardware components, including gradient and radio-frequency subsystems Provides techniques to handle flow imaging issues and improve the quality of MRIs Explains the essential physics underpinning MRI technology Rad Tech's Guide to MRI is a must-have resource for student radiographers, especially those preparing for the American Registry of Radiation Technologist (ARRT) exams, as well as practicing radiology technologists looking for a quick reference guide.

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

Since the publication of the best-selling, highly acclaimed first edition, the technology and clinical applications of medical imaging have changed significantly. Gathering these developments into one volume, Webb s Physics of Medical Imaging, Second Edition presents a thorough update of the basic physics, modern technology and many examples of clinical application across all the modalities of medical imaging.

New to the Second Edition

• Extensive updates to all original chapters
• Coverage of state-of-the-art detector technology and computer processing used in medical imaging
• 11 new contributors in addition to the original team of authors
• Two new chapters on medical image processing and multimodality imaging
• More than 50 percent new examples and over 80 percent new figures
• Glossary of abbreviations, color insert and contents lists at the beginning of each chapter

Keeping the material accessible to graduate students, this well-illustrated book reviews the basic physics underpinning imaging in medicine. It covers the major techniques of x-radiology, computerised tomography, nuclear medicine, ultrasound and magnetic resonance imaging, in addition to infrared, electrical impedance and optical imaging. The text also describes the mathematics of medical imaging, image processing, image perception, computational requirements and multimodality imaging. "

Year on year, there continue to be dramatic changes in endoscopic ultrasonography (EUS) since it was first introduced 30 years ago. Advances in technology have meant that as well as being used in the diagnosis of gastrointestinal disorders, EUS is now one of the primary diagnostic and therapeutic modalities used in GI endoscopy. Back and improved for a new edition, Endoscopic Ultrasonography is the market-leading book covering the topic. Written by leading experts in the field, it provides a technical how-to approach to learning this advanced endoscopic procedure. The highly-acclaimed authors provide step-by-step guidance to the fundamentals of EUS, giving clear instructions on the instruments involved, the correct sedation procedures to follow and how EUS should be performed safely and effectively. Every chapter discusses a specific aspect of EUS as it relates to a particular gastrointestinal disorder or organ system. Brand new to this edition are: 1) Seven new chapters on the hottest topics in EUS: Learning Anatomy for EUS; Elastography; Lung Cancer; Autoimmune Pancreatitis; EUS for Liver Disease; Biliary Access; Pancreatic Fluid Collection Drainage 2) A complete update of all previous chapters to reflect the most current clinical recommendations 3) A host of new color images in every chapter Endoscopic Ultrasonography 3rd edition is the ideal tool to consult to improve EUS skills and improve patient management, and an essential purchase for all gastroenterologists and endoscopists.

This comprehensive book focuses on multimodality imaging technology, including overviews of the instruments and methods followed by practical case studies that highlight use in the detection and treatment of cardiovascular diseases. Chapters cover PET-CT, SPECT-CT, SPECT-MRI, PET-MRI, PET-optical imaging, SPECT-optical imaging, photoacoustic Imaging, and hybrid intravascular imaging. It also addresses the important issues of multimodality imaging probes and image quantification. Readers from radiology and cardiology as well as medical imaging and biomedical engineering will learn essentials of the field. They will be shown how the field has advanced quantitative analysis of molecularly targeted imaging through improvements in the reliability and reproducibility of imaging data. Moreover, they will be presented with quantification algorithms and case illustrations, including coverage of such topics such as multimodality image fusion and kinetic modeling. Yi-Hwa Liu, PhD is Senior Research Scientist in Cardiovascular Medicine at Yale University School of Medicine and Technical Director of Nuclear Cardiology at Yale New Haven Hospital. He is also an Associate Professor (Adjunct) of Biomedical Imaging and Radiological Sciences at National Yang-Ming University, Taipei, Taiwan, and Professor (Adjunct) of Biomedical Engineering at Chung Yuan Christian University, Taoyuan, Taiwan. He is an elected senior member of Institute of Electrical and Electronic Engineers (IEEE) and a full member of Sigma Xi of The Scientific Research Society of North America. Albert J. Sinusas, M.D., FACC, FAHA is Professor of Medicine (Section of Cardiovascular Medicine) and Radiology and Biomedical Imaging, at Yale University School of Medicine, and Director of the Yale Translational Research Imaging Center (Y-TRIC), and Director of Advanced Cardiovascular Imaging at Yale New Haven Hospital. He is a recipient of the Society of Nuclear Medicine's Hermann Blumgart Award.

Bioimaging is a sophisticated non-invasive and non-destructive technique for direct visualization of biological processes. Highly luminescent quantum dots combined with magnetic nanoparticles or ions form an exciting class of new materials for bioimaging. These materials can be prepared in cost-effective ways and show unique optical behaviours. Magnetic Quantum Dots for Bioimaging explores leading research in the fabrication, characterization, properties, and application of magnetic quantum dots in bioimaging. * Covers synthesis, properties, and bioimaging techniques. * Discusses modern manufacturing technologies and purification of magnetic quantum dots. * Explores thoroughly the properties and extent of magnetization to various imaging techniques. * Describes the biocompatibility, suitability, and toxic effects of magnetic quantum dots. * Reviews recent innovations, applications, opportunities, and future directions in magnetic quantum dots and their surface decorated nanomaterials. This comprehensive reference offers a roadmap of the use of these innovative materials for researchers, academics, technologists, and advanced students working in materials engineering and sensor technology.

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: * Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. * Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. * Presents the application of evolutionary computations for fractal visualization of sequence data. * Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. * Examines the roles of efficient computational techniques in biology.

This unique and comprehensive atlas by an expert practioner provides an innovative pictorial guide to flexible bronchoscopy, one of the most exciting and challenging procedures in respiratory medicine today. Includes the very latest procedures and techniques Comprehensive coverage, guides you through the range of anatomical and pathological possibilities A step-by-step guide to the use of bronchoscopic techniques, interpretation of images and differential diagnoses Integrates naked eye, bronchoscopic and radiological anatomy to give you a thorough understanding of the procedure Numerous full colour illustrations and sound practical advice make this a key text for learning and refining your technique The book will be invaluable to those training in respiratory medicine, plus also specialist respiratory nurses and practising pulmonologists who wish to expand their practice and knowledge of the technique.

Skeletal dysplasias are rare, they may be genetic, sporadic or environmentally determined conditions, affecting bone and cartilage growth and development. The genetic mutations continue to exert their influence throughout the life of the affected individual. This unique, full colour atlas features 132 conditions with 2300 images of over 500 patients. It brings together the wide-ranging clinical disciplines involved in pre and postnatal care and diagnosis and presents perinatal images of rare skeletal disorders to include skeletal dysplasias and malformation syndromes on a case-by-case basis. It presents the most up-to-date information on the individual conditions to include the mode of inheritance (autosomal dominant or recessive, or non-genetic), the Mendelian Inheritance in Man number (MIM) for further reference reading, the locus (the chromosome number and position on the affected chromosome), the mutated gene and the affected protein. Each condition has a brief summary including synonyms, incidence, genetics, age at presentation, clinical, prenatal ultrasound and postnatal radiological features, bone histology, prognosis and differential diagnosis. Images are presented with each case illustrating different imaging modalities and with gross and/or histopathology findings. Brief clinical findings are also given where available. It is of great value to all clinicians and technicians working in fetal medicine and neonatal care. It greatly assists in diagnostic accuracy and provides clinicians and affected families with the information needed to make informed management decisions.

A host of imaging techniques are available to clinical cardiologists, including nuclear imaging, echocardiography, computerized tomography, and magnetic-resonance imaging. Chamber size, ventricular function, valvular function, coronary anatomy, and myocardial perfusion are among a wide array of cardiac characteristics that can all be assessed noninvasively. Cardiovascular Imaging systematically reviews each of these major techniques and provides clinical data from well-designed research studies. Following a brief overview of non-invasive cardiac imaging and the stress modalities used to detect coronary disease, case-based chapters are devoted to each of the various imaging techniques. The final chapter provides a glimpse of future possibilities, particularly with respect to molecular imaging. The text is illustrated throughout with amply-sized images. Demonstrating the values and limitations of the imaging techniques, the book enables practitioners to determine which test, in which patient population, and for which purpose would be the most appropriate to use.

Titles in the Pocket Tutor series give practical guidance on subjects that medical students and foundation doctors need help with ‘on the go’, at a highly-affordable price that puts them within reach of those rotating through modular courses or working on attachment.  Topics reflect information needs stemming from today’s integrated undergraduate and foundation courses: Common presentations Investigation options (e.g. ECG, imaging) Clinical and patient-orientated skills (e.g. examinations, history-taking) The highly-structured, bite-size content helps novices combat the ‘fear factor’ associated with day-to-day clinical training, and provides a detailed resource that students and junior doctors can carry in their pocket.   Key points New edition of the best-selling title that breaks down a complex and daunting subject using clearly-labelled, full-page ECG traces and concise but informative text Revised text and brand-new ECG traces bring the new edition fully up-to-date New chapters cover electrolyte and homeostatic disorders, and normal variants Logical, sequential content: relevant basic science, then a guide to understanding a normal ECG and the building blocks of an abnormal ECG, before describing clinical disorders

Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstrates the benefits reaped from the application of digital image processing, computer vision, and pattern analysis techniques to biomedical images, such as adding objective strength and improving diagnostic confidence through quantitative analysis. The book focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis, rather than on the imaging equipment and imaging techniques. Each chapter addresses several problems associated with imaging or image analysis, outlining the typical processes, then detailing more sophisticated methods directed to the specific problems of interest. Biomedical Image Analysis is useful for senior undergraduate and graduate biomedical engineering students, practicing engineers, and computer scientists working in diverse areas such as telecommunications, biomedical applications, and hospital information systems.

Are Amazon Alexa and Google Home limited to our bedrooms, or can they be used in hospitals? Do you envision a future where physicians work hand-in-hand with voice AI to revolutionize healthcare delivery? In the near future, clinical smart assistants will be able to automate many manual hospital tasks-and this will be only the beginning of the changes to come. Voice AI is the future of physician-machine interaction and this Focus book provides invaluable insight on its next frontier. It begins with a brief history and current implementations of voice-activated assistants and illustrates why clinical voice AI is at its inflection point. Next, it describes how the authors built the world's first smart surgical assistant using an off-the-shelf smart home device, outlining the implementation process in the operating room. From quantitative metrics to surgeons' feedback, the authors discuss the feasibility of this technology in the surgical setting. The book then provides an in-depth development guideline for engineers and clinicians desiring to develop their own smart surgical assistants. Lastly, the authors delve into their experiences in translating voice AI into the clinical setting and reflect on the challenges and merits of this pursuit. The world's first smart surgical assistant has not only reduced surgical time but eliminated major touch points in the operating room, resulting in positive, significant implications for patient outcomes and surgery costs. From clinicians eager for insight on the next digital health revolution to developers interested in building the next clinical voice AI, this book offers a guide for both audiences.

Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provides the first comprehensive coverage of this emerging field.

This monograph details the theory, technology, and practical implementations in a variety of medical settings. International experts thoroughly explain why image registration is important, describe its applications in a nonmathematical way, and include rigorous analysis for those who plan to implement algorithms themselves. It is accessible and informative to those new to the field, yet it provides in-depth treatment for the expert. With its practical examples, extensive illustrations, and comprehensible approach, Medical Image Registration is a must have guide for medical physicists, clinicians, and researchers.

Imaging in Movement Disorders: Imaging in Atypical Parkinsonism and Familial Movement Disorders, Volume 142, addresses the use of imaging modalities across the spectrum of movement disorders and dementias. Over the last decades, advances in neuroimaging tools have played a pivotal role in expanding our understanding of disease aetiology and pathophysiology, identifying biomarkers to monitor disease progression, aiding differential diagnosis and in the identification of novel targets for therapeutic intervention. This updated volume covers PET Molecular Imaging in Atypical Parkinsonism, SPECT Molecular Imaging in Atypical Parkinsonism, Structural MRI in Atypical Parkinsonism, Functional MRI in Atypical Parkinsonism, and more.

This second edition is completely revised and improved and contains eight new chapters and six new appendixes. In addition to the theoretical background on light propagation through diffusive media, this update also provides new didactical material, including: A comprehensive statistical approach to the photon penetration depth in diffusive media. An introduction to anomalous transport. An anisotropic transport approach within the framework of diffusion theory. An introduction to the invariance properties of radiative transfer in non-absorbing media. A heuristic explanation of ballistic photon propagation. An expanded description of core Monte Carlo simulation methods. A series of new analytical solutions of the diffusion equation for new geometries. Some original solutions in the time domain of the diffusion equation in the presence of Raman and fluorescence interactions. New MATLAB (R) codes of the presented solutions. A revised and enlarged set of numerical Monte Carlo results for verification of the presented solutions. An augmented bibliography covering the field of tissue optics. Although the theoretical and computational tools provided in this book have their primary use in the field of biomedical optics, there are many other applications in which they can be used, including, for example, analysis of agricultural products, study of forest canopies or clouds, and quality control of industrial food, plastic materials, or pharmaceutical products, among many others.

Imaging Methodology and Applications in Parkinson's Disease, Volume 141, provides an up-to-date and comprehensive textbook on the use of imaging modalities across the spectrum of movement disorders and dementias. Over the last decades, advances in neuroimaging tools has played a pivotal role in expanding our understanding of disease etiology and pathophysiology, identifying biomarkers to monitor disease progression, aiding differential diagnosis, and in the identification of novel targets for therapeutic intervention. This book brings together lessons learned from neuroimaging tools in movement disorders, including chapters on Advances in PET Methodology, Advances in MRI Methodology, Advances in SPECT Methodology, Hybrid PET/MRI Methodology, and more.

Gastrointestinal Imaging: Case Review, by Vincent Low, MD, FRANZCR, tests your ability to interpret a wide range of images seen in practice. The completely revised edition of this medical reference book in the popular Case Review Series features 200 cases organized by difficulty, making it ideal for quick reference and easy board review! Study effectively with content that mimics the new format of board exams as well as the everyday clinical experience - offering highly effective preparation for certification, recertification, and practice. Spend less time searching and more time learning with easy-to-navigate chapters focused on visual identification and diagnosis, and reorganized by degree of case difficulty and then by body part within each category. Stay current with the most recent findings and advancements in gastrointestinal radiology. Review 200 cases organized by level of difficulty, with multiple-choice questions, answers, and rationales that mimic the new format of certification and recertification exams. Effectively employ differential diagnosis procedures to distinguish among diseases and disorders with similar sonographic presentations. Alleviate exam anxiety and sharpen your clinical skills with visual guidance from entirely new high-quality, state-of-the-art images presenting a wide range of clinical situations. Challenge your knowledge of a full range of topics in gastrointestinal imaging with - 200 cases that mimic the new board format

The aim of this comprehensive encyclopedia is to provide detailed information on diagnostic radiology contributing to the broad field of imaging. The simple A to Z format provides easy access to relevant information. Extensive cross references between keywords and related articles enable efficient searches in a user-friendly manner. The wide range of entries will provide basic and clinical scientists in academia, practice and industry with valuable information about the field of diagnostic imaging. Those in related fields will also benefit from the important and relevant information on the most recent developments.

Please note that this publication is available as print only or online only or print + online set. Save 75% of the online list price when purchasing the bundle. For more information on the online version please type the publication title into the search box above, then click on the eReference version in the results list.

Here is an informative book that provides theoretical perspectives on the study of fetal movement and introduces observational assessments that can be used in fetal research. It provides research tools that can be used to delineate early patterns of movement, preparing therapists for neonatal intervention and leading to a better understanding of functional activity of the fetus. Concepts in Fetal Movement Research describes various ideas in fetal development and contains original research on a variety of topics, including: the way in which events experienced in utero help neonatal interaction with parents inductive and deductive approaches to assessment development scapular movement activity/inactivity of the 12-20 week old fetus two different research tools for assessing fetal movement. future directions for research by physical therapists in collaboration with other researchersResearchers, clinicians, obstetricians, radiologists, sonographers, and neonatologists will all find this book full of helpful information. Concepts in Fetal Movement Research is an invaluable guide for both their research and their day-to-day work with patients.

Towards the end of this century we celebrate three great discoveries of the last one - of X-rays in 1895, of radioactivity in 1896 and of radium in 1898 - and recall the pioneering achievements that founded the new science of radiology and changed the face of medicine forever. Dr Mould's comprehensive centennial history makes a unique contribution to the telling of this entertaining story - in the unusual and accessible style of a 'radiological photograph album'. Over 700 historical illustrations, with full and informative captions, are supported by short introductory essays to blow the dust off our fascinating radiological past in an easily readable style. The focus of this book is on the historically more interesting earlier years - of discovery and invention, diagnosis and therapy, dosimetry, risk and protection. The photographic record is complemented by archival accounts of the pioneer scientists and physicians, and of their early patients, and is interspersed with a variety of radiological anecdotes. In the several chapters on diagnostic techniques, radiotherapy and nuclear medicine the history is nevertheless brought up to date so that the old methodologies may be contrasted with newer technologies. The medical theme is itself complemented by two interesting chapters on museum and industrial applications of radiography. The predominantly photographic presentation of this book is derived from the author's earlier but smaller A History of X-rays and Radium, no longer available yet still of enduring interest. Research has been based on original source material which is fully cited and the illustrations and text are comprehensively indexed for easy retrieval of the wide variety ofpeople, techniques, apparatus and examples featured throughout this radiological journey.

Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective

This book describes methods for statistical brain imaging data analysis from both the perspective of methodology and from the standpoint of application for software implementation in neuroscience research. These include those both commonly used (traditional established) and state of the art methods. The former is easier to do due to the availability of appropriate software. To understand the methods it is necessary to have some mathematical knowledge which is explained in the book with the help of figures and descriptions of the theory behind the software. In addition, the book includes numerical examples to guide readers on the working of existing popular software. The use of mathematics is reduced and simplified for non-experts using established methods, which also helps in avoiding mistakes in application and interpretation. Finally, the book enables the reader to understand and conceptualize the overall flow of brain imaging data analysis, particularly for statisticians and data-scientists unfamiliar with this area. The state of the art method described in the book has a multivariate approach developed by the authors' team. Since brain imaging data, generally, has a highly correlated and complex structure with large amounts of data, categorized into big data, the multivariate approach can be used as dimension reduction by following the application of statistical methods. The R package for most of the methods described is provided in the book. Understanding the background theory is helpful in implementing the software for original and creative applications and for an unbiased interpretation of the output. The book also explains new methods in a conceptual manner. These methodologies and packages are commonly applied in life science data analysis. Advanced methods to obtain novel insights are introduced, thereby encouraging the development of new methods and applications for research into medicine as a neuroscience.