This textbook, intended for advanced undergraduate and graduate students, is an introduction to the physical and mathematical principles used in clinical medical imaging. The first two chapters introduce basic concepts and useful terms used in medical imaging and the tools implemented in image reconstruction, while the following chapters cover an array of topics such as physics of x-rays and their implementation in planar and computed tomography (CT) imaging; nuclear medicine imaging and the methods of forming functional planar and single photon emission computed tomography (SPECT) images and Clinical imaging using positron emitters as radiotracers. The book also discusses the principles of MRI pulse sequencing and signal generation, gradient fields, and the methodologies implemented for image formation, form flow imaging and magnetic resonance angiography and the basic physics of acoustic waves, the different acquisition modes used in medical ultrasound, and the methodologies implemented for image formation and flow imaging using the Doppler Effect. By the end of the book, readers will know what is expected from a medical image, will comprehend the issues involved in producing and assessing the quality of a medical image, will be able to conceptually implement this knowledge in the development of a new imaging modality, and will be able to write basic algorithms for image reconstruction. Knowledge of calculus, linear algebra, regular and partial differential equations, and a familiarity with the Fourier transform and it applications is expected, along with fluency with computer programming. The book contains exercises, homework problems, and sample exam questions that are exemplary of the main concepts and formulae students would encounter in a clinical setting.

This must-have text provides an insight into the science behind radiographic technology. Suitable for radiography and radiology students at all levels, the text uses illustrations and simple analogies to explain the fundamentals, while retaining more complex concepts for those with a more advanced knowledge of radiological physics. Updated by authors Martin Vosper, Andrew England and Victoria Major to reflect advances and key topics in medical imaging practice, this text will support radiographers in their core role of obtaining high quality images and optimal treatment outcomes. Strong links between theory and practice throughout, with updated clinical scenarios Clear and concise text featuring insight boxes and summary points More than 60 new diagrams Logically organised to match the order of delivery used in current teaching programmes Updated to reflect advances in medical imaging practice and changes to teaching curricula New information on X-ray exposure factors and their effect on the radiographic image; non-ionising radiation safety - MRI, ultrasound; mobile, portable and dental systems; multimodality imaging, registration and fusion; and the science of body tissue depiction; and PACS technology Enhanced focus on diagnostic imaging Evolve resources to support learning and teaching

Mit neu entwickelten diagnostischen Moeglichkeiten und verbesserten Therapieverfahren ist eine zunehmend differenzierte Behandlung von Lungenmetastasen boesartiger Tumoren moeglich geworden. Je nach Ursprungstumor und klinischer Situation wird ein unterschiedliches Vorgehen empfohlen. Neben onkologischen Gesichtspunkten ruckt auch die verbleibende Lungenfunktion in den Mittelpunkt des Interesses. Die moderne Bildgebung, offene und minimal invasive Operationsverfahren und interdisziplinare Therapiekonzepte zu den einzelnen Tumorentitaten sind detailliert und praxisorientiert beschrieben.

Over the last decade, some of the greatest achievements in the field of neuroimaging have been related to remarkable advances in magnetic resonance techniques, including diffusion, perfusion, magnetic resonance spectroscopy, and functional MRI. Such techniques have provided valuable insights into tissue microstructure, microvasculature, metabolism and brain connectivity. Previously available mostly in research environments, these techniques are now becoming part of everyday clinical practice in a plethora of clinical MR systems. Nevertheless, despite growing interest and wider acceptance, there remains a lack of a comprehensive body of knowledge on the subject, exploring the intrinsic complexity and physical difficulty of the techniques. This book focuses on the basic principles and theories of diffusion, perfusion, magnetic resonance spectroscopy, and functional MRI. It also explores their clinical applications and places emphasis on the associated artifacts and pitfalls with a comprehensive and didactic approach. This book aims to bridge the gap between research applications and clinical practice. It will serve as an educational manual for neuroimaging researchers and radiologists, neurologists, neurosurgeons, and physicists with an interest in advanced MR techniques. It will also be a useful reference text for experienced clinical scientists who wish to optimize their multi-parametric imaging approach.

This book constitutes the First Cerebral Aneurysm Detection Challenge, CADA 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, and took place virtually due to the COVID-19 pandemic. The 9 regular papers presented in this volume, together with an overview and one introduction paper, were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: cerebral aneurysm detection; cerebral aneurysm segmentation; and cerebral aneurysm rupture risk estimation.

This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions). *The workshop and challenges were held virtually.

Stay on top of recent, significant changes in the areas of nuclear medicine and molecular imaging with this updated and expanded volume in the popular Case Review Series. Nuclear Medicine and Molecular Imaging, 3rd Edition offers highly illustrated, case-based preparation for board review to help residents and recertifying radiologists succeed on exams and provide state-of-the-art patient care. Presents 150 case studies organized by level of difficulty, with all new multiple-choice questions, answers, and rationales that mimic the format of certification exams. Provides more cases on positron emission tomography (PET), including all the latest applications of PET/CT hybrid imaging. Covers new tracers such as Ga68 DOTA, F-18 amyloid, and F-18 prostate cancer imaging agents as well as new indications for Tc99m sestamibi. Reflects recent changes in nuclear medicine including information on patient selection, how therapy affects patients, and if there is evidence of recurring disease. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.*For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.

Imaging for nurses is a practical guide for nurses in imaging departments and for all clinical nurse specialists caring for patients undergoing imaging procedures and investigations e.g. in the areas of cardiology, vascular interventions, accident and emergency, urology, neurology, and gastro-intestinal medicine
Imaging for nurses addresses all aspects of nursing care including patient preparation, imaging procedures, and post-procedure care. It provides a clear introduction to essential imaging theory and the role and responsibilities of the nurse in imaging procedures. Separate chapters cover fluoroscopy, ultrasound, computerised tomography, magnetic resonance imaging and use of radioisotopes for ease of reference.

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.

A state-of-the-art review of key topics in medical image perception science and practice, including associated techniques, illustrations and examples. This second edition contains extensive updates and substantial new content. Written by key figures in the field, it covers a wide range of topics including signal detection, image interpretation and advanced image analysis (e.g. deep learning) techniques for interpretive and computational perception. It provides an overview of the key techniques of medical image perception and observer performance research, and includes examples and applications across clinical disciplines including radiology, pathology and oncology. A final chapter discusses the future prospects of medical image perception and assesses upcoming challenges and possibilities, enabling readers to identify new areas for research. Written for both newcomers to the field and experienced researchers and clinicians, this book provides a comprehensive reference for those interested in medical image perception as means to advance knowledge and improve human health.

Since its discovery 50 years ago, brain dopamine has been implicated in the control of movement and cognition, and is concerned with diverse brain diseases such as Parkinson's disease, schizophrenia and drug addiction. This book is an illustrated biography of the dopamine molecule, from its synthesis in the brain to its signalling mechanisms and ultimately to its metabolic breakdown. Using colour illustrations of positron emission tomography (PET) scans, each chapter presents a specific stage in the biochemical pathway for dopamine. Writing for researchers and graduate students, Paul Cumming presents a compilation of all that has been learned about dopamine through molecular imaging, a technology which allows the measurement of formerly invisible processes in the living brain. He reviews current technical controversies in the interpretation of dopamine imaging, and presents key results illuminating brain dopamine in illness and health.

This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions). *The workshop and challenges were held virtually.

An understanding of current trauma imaging concepts is essential for all medical personnel involved in the care of trauma patients where the outcome may depend on a rapid assessment of the nature and severity of injuries, allowing appropriate medical management and surgical or non-surgical intervention.

Containing more than 300 state of the art full colour images, the "ABC of Imaging in Trauma" addresses this increasingly important area and provides a concise and practical guide to the role, performance and interpretation of emergency imaging procedures in disaster victims and major trauma patients, and focuses on the use of CT, ultrasound, and MRI scanning to diagnose such patients. It is ideal for the non specialist and emergency physicians, Foundation doctors, trainee radiologists, and specialist trauma nurses.

This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020. Due to COVID-19 pandemic the conference was held virtually. The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.

The three-volume set LNCS 6891, 6892 and 6893 constitutes the refereed proceedings of the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011, held in Toronto, Canada, in September 2011. Based on rigorous peer reviews, the program committee carefully selected 251 revised papers from 819 submissions for presentation in three volumes. The second volume includes 83 papers organized in topical sections on diffusion weighted imaging, fMRI, statistical analysis and shape modeling, and registration.

Part of the "What Do I Do Now?: Emergency Medicine" series, Pediatric Emergency Radiology uses a case-based approach to cover common and important topics in radiology imaging for pediatric emergency care. Each chapter provides a discussion of the diagnosis, key points to remember, and selected references for further reading. Areas of controversy are clearly delineated with a discussion regarding evidence-based options and a balanced view of treatment and disposition decisions. The book addresses a wide range of topics including neonatal respiratory distress, foreign body ingestion, Bronchiolitis, and related radiology issues faced by emergency medicine providers and pediatricians. Pediatric Emergency Radiology is an engaging collection of thought-provoking cases which clinicians can utilize for effective imaging of pediatric patients. The volume is also a self-assessment tool that tests the reader's ability to answer the question, "What do I do now?"

This book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China. All submissions were accepted for publication; the book contains 5 peer-reviewed regular papers, covering topics of vertrebra detection, spine segmentation and image-based diagnosis, and 9 challenge papers, investigating (semi-)automatic spinal curvature estimation algorithms and providing a standard evaluation framework with a set of x-ray images.

Dieses Buch befasst sich ausschlieAlich mit der Anwendung der Magnetresonanztomographie (MRT) bei Kindern. Es beleuchtet den derzeitigen Stand der GerAtetechnik und die aktuellen und kA1/4nftigen EinsatzmAglichkeiten der MRT fA1/4r pAdiatrische Fragestellungen. Dadurch soll vor allem bei Kinderradiologen, Radiologen sowie PAdiatern und Kinderchirurgen ein breiteres VerstAndnis fA1/4r diese Untersuchungsmethode geweckt werden. Speziell wendet sich das Buch an Neonatologen, PAdiatrische Endokrinologen, PAdiatrische Onkologen, PAdiatrische Kardiologen, NeuropAdiater, Kinderurologen, Kindertraumatologen und KinderorthopAden.

Written specifically for biomedical engineers, Biosignal and Medical Image Processing, Third Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classifying signals, including entropy-based methods and scaling methods. A full set of PowerPoint slides covering the material in each chapter and problem solutions is available to instructors for download. See What's New in the Third Edition: Two new chapters on nonlinear methods for describing and classifying signals. Additional examples with biological data such as EEG, ECG, respiration and heart rate variability Nearly double the number of end-of-chapter problems MATLAB (R) incorporated throughout the text Data "cleaning" methods commonly used in such areas as heart rate variability studies The text provides a general understanding of image processing sufficient to allow intelligent application of the concepts, including a description of the underlying mathematical principals when needed. Throughout this textbook, signal and image processing concepts are implemented using the MATLAB (R) software package and several of its toolboxes. The challenge of covering a broad range of topics at a useful, working depth is motivated by current trends in biomedical engineering education, particularly at the graduate level where a comprehensive education must be attained with a minimum number of courses. This has led to the development of "core" courses to be taken by all students. This text was written for just such a core course. It is also suitable for an upper-level undergraduate course and would also be of value for students in other disciplines that would benefit from a working knowledge of signal and image processing.

Prepare for success on the thoracic imaging component of the radiology Core Exam! Thoracic Imaging: A Core Review, 2nd Edition, is an up-to-date, practical review tool written specifically for the Core Exam. This helpful resource contains 300 image-rich, multiple-choice questions with detailed explanations of right and wrong answers, fully revised content, and additional eBook questions to ensure you're ready for the Core Exam or recertification exam. Features questions in all exam areas, including imaging basics, normal anatomy, ICU radiographs, pulmonary pathology, pleural disease, vascular diseases relevant to thoracic imaging, and trauma. Questions accompanied with 1 or 2 high-quality radiographs, CT, MR, or ultrasound images. Provides concise answers with explanations of each choice followed by relevant, up-to-date references. Follows the structure and content of what you'll encounter on the test, conveniently organized by topic. Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech.

This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019, the 5 papers presented at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications in medical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection.

Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by nerves and muscles. Interpreting EMG is a mandatory skill for neurologists and rehabilitation specialists. This textbook provides the reader with a detailed discussion of the concepts and principles underlying electrodiagnostic medicine. It is written for an audience without pre-existing knowledge in this discipline, including beginner technicians and physicians in training. It is an ideal review for seasoned practitioners and those preparing for board examinations. It begins with a review of the foundational sciences and works through the field in twenty chapters, including a large number of case studies demonstrating correct application and interpretation. Appendices of information frequently required in the EMG laboratory, such as Nerve Conduction Study techniques and their age-related normal values, anatomic regions assessed by each NCS and needle EMG studies, safety issues, and other important topics, are also included.

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.

Master essential procedures with ease and build the clinical confidence for success in practice with this concise, easy-to-use guide. Step-by-step instructions walk you through 65 key scan procedures-complete with listings of possible artifacts and issues that may arise during each scan with added relevant information for each scan-to help you ensure the most effective imaging outcomes. Students of Medicine and Physicians may quickly review the indications, contraindications, expected normal and abnormal findings for any included test. Updated content reflects the latest imaging technology and the most clinically relevant scanning procedures. Enhanced design makes key content more accessible. Updated suggested readings familiarize you with the latest clinical literature in nuclear medicine technology. Concise, bulleted outline format guides you step-by-step through 65 essential scan procedures. Complete list of indications, contraindications, normal and abnormal findings for all studies listed in the book. Detailed anatomic illustrations reinforce your understanding of human anatomy and body systems. Patient History sections help you ensure effective patient communication before exams and during scanning. An extensive quick-reference section provides fast access to conversion tables, radiopharmaceutical dose ranges, pediatric dosing, anatomic drawings, standard drug interventions, lab tests, language translations, thyroid therapy information, billing codes, and reproducible patient history sheets for over 25 scans. eBook available for purchase. Fast, smart, and convenient, today's eBooks can transform learning. These interactive, fully searchable tools offer 24/7 access on multiple devices, the ability to highlight and share notes, and more.