Since it was first published, Accident and Emergency Radiology: A Survival Guide has become the classic in-my-pocket-reference and an indispensable aid to all those who work in the Emergency Department. The core and substantial value lies in the step-by-step analytical approaches which help you to answer this question: "These images look normal to me, but . . . how can I be sure that I am not missing a subtle but important abnormality?" "This book will provide essential reading and support to A&E trainees, medical students, radiology trainees, reporting radiographers and clinical nurse specialists, all of whom may be faced with trauma cases requiring accurate diagnosis and treatment." Reviewed by: RAD Magazine Feb 2015 "... Very nearly flawless...contains just the right amount of information to accommodate readers from trainees through to consultant or attending level." Reviewed by African Journal of Emergency Medicine , Jun 2015 Ensure accuracy in reading and interpretation of any given image. Common sources of error and diagnostic difficulty are highlighted. Prevent mistakes. Pitfalls and associated abnormalities are emphasized throughout. Avoid misdiagnoses. Normal anatomy is outlined alongside schemes for detecting variants of the norm. Each chapter concludes with a summary of key points. Will provide a useful overview of the most important features in diagnosis and interpretation. Easily grasp difficult anatomical concepts. Radiographs accompanied by clear, explanatory line-drawings. Spend less time searching with an improved layout and design with succinct, easy-to-follow text. A templated chapter approach helps you access key information quickly. Each chapter includes key points summary, basic radiographs, normal anatomy, guidance on analyzing the radiographs, common injuries, rare but important injuries, pitfalls, regularly overlooked injuries, examples, and references. Grasp the nuances of key diagnostic details. Updated and expanded information, new radiographs, and new explanatory line drawings reinforce the book's aim of providing clear, practical advice in diagnosis. Avoid pitfalls in the detection of abnormalities that are most commonly overlooked or misinterpreted. Access the complete contents and illustrations online at Expert Consult-fully searchable!

A concise introduction to the principles and practice of point-of-care echocardiography for neonatologists Practical Neonatal Echocardiography is based on an acclaimed course that the authors havetaught for the past 15 years at USC training neonatologists in cardiac ultrasound ofneonatal patients for on-the-spot examination and diagnosis. Drs. Siassiand Noori have trained hundreds of physicians to use ultrasound equipment toexamine neonatal cardiac function at the first sign of distress, leading to fasterdiagnosis and referral to pediatric cardiologists for treatment. This book is designed to helpreaders develop the skills necessary to perform a high quality neonatalechocardiographic examination, evaluate cardiac function, and recognizeabnormalities and defects. Practical Neonatal Echocardiography begins with an introduction to the basic principles of echocardiography and the ultrasound scanners commonly used at pediatric cardiac centers. Neonatal cardiac anatomy is clearly described through the use of 2-dimensional images andvideo clips. Subsequent chapters teach the assessment of cardiac function, bloodflow, shunts, physical defects, and abnormalities that may exist in the absence of adefect. Myocardial dysfunction, heart failure, shock, hypertension, cardiomyopathy,cyanosis, and more are discussed in detail with multiple illustrative cases. *Integrated throughout the chapters are 110 video clips, which when looped, will display a beating heart. These real-life cases will help readers hone their skills in recognizing defects in cardiac function and growth.*Covers essential principles of echocardiography with clear descriptions and illustrations*Describes common features of ultrasound scanners and how to use them

This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications. The book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one of the most challenging research domains in image processing.

This book is based on the best contributions to the advancement of bioimpedance knowledge and use from the Latin American Congress series, CLABIO. Basic bioimpedance facts as well as promising and original contributions to bioimpedance theory and applications are presented, giving the reader stimulating material for reflection, decision making, and further experiments. Contributions come from a diverse international pool of experts and address topics on electrode and skin impedance modelling, tomography, spectroscopy, instrumentation, and clinical applications.

The area of molecular imaging has matured over the past decade and is still growing rapidly. Many concepts developed for molecular biology and cellular imaging have been successfully translated to in vivo imaging of intact organisms. Molecular imaging enables the study of processes at a molecular level in their full biological context. Due to the high specificity of the molecular readouts the approach bears a high potential for diagnostics. It is fair to say that molecular imaging has become an indispensable tool for biomedical research and drug discovery and development today.This volume familiarizes the reader with the concepts of imaging and molecular imaging in particular. Basic principles of imaging technologies, reporter moieties for the various imaging modalities, and the design of targeted probes are described in the first part. The second part illustrates how these tools can be used to visualize relevant molecular events in the living organism. Topics covered include the studies of the biodistribution of reporter probes and drugs, visualization of the expression of biomolecules such as receptors and enzymes, and how imaging can be used for analyzing consequences of the interaction of a ligand or a drug with its molecular target by visualizing signal transduction, or assessing the metabolic, physiological, or structural response of the organism studied.The third edition has been extended considerably. This holds for the chapter on imaging modalities, which now includes sections on intravital microscopy and mass spectrometric imaging. All chapters have been updated and a new chapter on the challenges of translating molecular imaging solutions for clinical use has been added.

This book highlights the latest advances in functional micro/nano imaging probes and their applications for biomedical imaging and therapy. Given the rapid emergence of transdisciplinary research and applications in materials, chemical probes and translational medicine in recent years, scientists in these areas are expected to keep up to date on the latest technologies and advances to promote comprehensive innovations. Addressing this need, the book presents recently introduced features, emerging techniques, and new strategies, complemented by detailed illustrations. Covering the status quo and offering an outlook on the future, it benefits all readers with an interest in functional materials, especially micro/nano imaging materials for biomedical imaging applications, providing them with both vital updates and inspiration for their own research.

Authored by ultrasound specialists and reviewed by expert sonographers, this unique title is an image-rich, clinically relevant resource for both sonographers and beginning sonologists. Diagnostic Ultrasound for Sonographers meets the need for higher level diagnostic knowledge to not only identify an abnormality but understand its diagnostic implications, and anticipate what additional images would be needed to confirm a diagnosis. It includes tips on optimizing scans to streamline and accelerate the diagnostic process. Provides one-of-a-kind, detailed coverage of a wide range ultrasound findings and diagnoses specifically tailored to help sonographers and beginning sonologists understand the comprehensive diagnostic ultrasound exams they perform, improve diagnostic accuracy, and minimize the frequency of additional radiologic tests Covers exams and diagnoses that would be seen in a busy ultrasound practice, focusing on what is essential for diagnosis, such as imaging anatomy, imaging findings, differential diagnosis, pathology, clinical issues, and a diagnostic checklist Presents detailed cross-sectional ultrasound of normal anatomy, with correlated MR and CT images where appropriate, and full-color drawings Includes clinically relevant diagnosis chapters with concise, bulleted Key Facts including classic imaging findings, artifacts, pitfalls, and recommendations, all generously illustrated with thoroughly annotated sonographic imaging examples and full-color drawings Expert ConsultT eBook version included with purchase, which allows you to search all of the text, figures, and references from the book on a variety of devices

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Access interactive cases on breast imaging for the best board review possible!Part of McGraw-Hill's Radiology Case Review Series, this unique resource challenges you to look at a group of images, determine the diagnosis, answer related questions, and gauge your knowledge by reviewing the answer. It all adds up to the best interactive review of breast imaging available--one that's ideal for certification or recertification, or as clinical refresher. Distinguished by an effective 2-page design, each volume in this series is filled with cases, annotatedimages, questions & answers, pearls, and relevant literature references that will efficiently prepare you for virtually any exam topic. The book's cases are crosslinked to an online component that includes full-resolution images, interactive image stacks, discussions and extra teaching points that reinforce your grasp of must-know breast imaging topics--from gynecomastia to primary breast lymphoma. Radiology Case Review Series Features 200 cases for each volume, which consist of: Precise, state-of-the-art images accompanied by questions and answers, descriptions of the entities, insightful clinical pearls, and reference lists Intensive coverage of fundamental radiology principles, the latest diagnostic imaging techniques, radiology equipment, new technologies, and more Unique 2-page design for each case, which features: Images with 5 questions on the right-hand page Magnifications, annotations, and detailed answers on the verso page--a benefit that you'll find only in this exceptional series! Informative, bulleted comments box that provides important additional context for each case Cases organized and coded by difficulty level allowing you to evaluate your proficiency before progressing to the next level Radiology-relevant scrolling and stacking function A dedicated interactive website enables you to: Scroll the images from each case in the text as well as stack images (display multiple views of an image) Zoom in and out, or scroll up and down, to highlight specific details of a subject Access additional images for each case using the case ID number from the text

This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer's detection, multiple sclerosis detection, etc.

Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods for medical ultrasonic images, it offers a useful reference guide for their study and research work.

This book provides a state-of-the-art overview of the combined use of imaging modalities to obtain important functional and morphological information on intravascular disease and enhance disease detection. It discusses the integration of intravascular ultrasound (IVUS, intravascular optical coherence tomography (OCT), intravascular photoacoustic imaging (IVPA) and acoustic radiation force optical coherence elastography (ARF-OCE), and introduces the integration of multimodality imaging systems, such as IR and florescence. It includes the latest research advances and numerous imaging photos to offer readers insights into current intravascular applications. It is a valuable resource for students, scientists and physicians wanting to gain a deeper understanding of multimodality imaging tools.

This introduction to medical imaging introduces all of the major medical imaging techniques in wide use in both medical practice and medical research, including Computed Tomography, Ultrasound, Positron Emission Tomography, Single Photon Emission Tomography and Magnetic Resonance Imaging. Principles of Medical Imaging for Engineers introduces fundamental concepts related to why we image and what we are seeking to achieve to get good images, such as the meaning of 'contrast' in the context of medical imaging. This introductory text separates the principles by which 'signals' are generated and the subsequent 'reconstruction' processes, to help illustrate that these are separate concepts and also highlight areas in which apparently different medical imaging methods share common theoretical principles. Exercises are provided in every chapter, so the student reader can test their knowledge and check against worked solutions and examples. The text considers firstly the underlying physical principles by which information about tissues within the body can be extracted in the form of signals, considering the major principles used: transmission, reflection, emission and resonance. Then, it goes on to explain how these signals can be converted into images, i.e., full 3D volumes, where appropriate showing how common methods of 'reconstruction' are shared by some imaging methods despite relying on different physics to generate the 'signals'. Finally, it examines how medical imaging can be used to generate more than just pictures, but genuine quantitative measurements, and increasingly measurements of physiological processes, at every point within the 3D volume by methods such as the use of tracers and advanced dynamic acquisitions. Principles of Medical Imaging for Engineers will be of use to engineering and physical science students and graduate students with an interest in biomedical engineering, and to their lecturers.

Addressing the basic concepts of radiological physics and radiation protection, together with a structured approach to image interpretation, Radiology at a Glance is the perfect guide for medical students, junior doctors and radiologists. Covering the radiology of plain films, fluoroscopy, CT, MRI, intervention, nuclear medicine, and mammography, this edition has been fully updated to reflect advances in the field and now contains new spreads on cardiac, breast and bowel imaging, as well as further information on interventional radiology. Radiology at a Glance: * Assumes no prior knowledge of radiology * Addresses both theory and clinical practice through theoretical and case-based chapters * Provides structured help in assessing which radiological procedures are most appropriate for specific clinical problems * Includes increased image clarity Supported by 'classic cases' chapters in each section, and presented in a clear and concise format, Radiology at a Glance is easily accessible whether on the ward or as a quick revision guide.

This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory. The book's chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to organize a sizable collection of radiology findings from real clinical practice, allowing semantic similarity-based retrieval.The intended reader of this edited book is a professional engineer, scientist or a graduate student who is able to comprehend general concepts of image processing, computer vision and medical image analysis. They can apply computer science and mathematical principles into problem solving practices. It may be necessary to have a certain level of familiarity with a number of more advanced subjects: image formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured prediction and image segmentation.

Written by topic experts, this new edition of Farr's Physics for Medical Imaging is designed specifically for trainee radiologists preparing for the physics component of their FRCR exams. The book effectively explains the principles and techniques behind the most common forms of medical imaging, including X-ray, CT, ultrasound, MRI, nuclear medicine, and fluoroscopy. Trainee radiologists and radiographers will find this an easy to understand and useful adjunct to their exam preparation - even those who haven't studied physics since school. Designed for those studying for their FRCR part 1 exams - covers everything you need to know Easy to read and navigate, suitable for those with varying levels of physics knowledge Written by topic experts - physicists and a radiologist, to make the information more accessible to radiology trainees Clear line drawings and sample images illustrate the principles discussed Fully revised and updated Reflects changes to the FRCR examination Increased amount of clinical content Covers new legislation concerning radiological safety New chapter on radiology information technology

This book reviews and discusses the development of self-assembled nanomaterials applied in biomedical fields. Based on self-assembled nanomaterial constructions, it highlights the mechanisms of the stimuli-response-induced assembly/disassembly and transformation. Moreover, it examines healthcare-related diseases, the applications of nanomaterials and therapy/detection strategies, providing readers with both a deeper understanding of the subject and inspirations for future research. The book is primarily intended for researchers and graduate students in the fields of material sciences and chemistry who wish to learn about the principles, methods, mechanisms and biomedical applications of self-assembled nanomaterials.

This book highlights recent technological advances, reviews and applications in the field of cardiovascular engineering, including medical imaging, signal processing and informatics, biomechanics, as well as biomaterials. It discusses the use of biomaterials and 3D printing for tissue-engineered heart valves, and also presents a unique combination of engineering and clinical approaches to solve cardiovascular problems. This book is a valuable resource for students, lecturers and researchers in the field of biomedical engineering.

This book is designed to give the reader a strong grounding in the mathematical basis of photogrammetry while introducing them to the related fields, such as remote sensing and digital image processing, which are increasingly important to photogrammetric research and practice.

Notable experts in the field of neuroimaging provide comprehensive overviews of advances in functional and structural aspects of both common and uncommon brain disorders. Functional imaging is evolving quickly but researchers and clinicians do not always have a strong understanding of the fundamental basis of the imaging techniques that they use. By focusing on both structure and function this book will provide a strong foundation for emerging developments in the field.

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimer's disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identify the main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis.

This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical applications, e.g., from the fields of geometric learning or spectral shape analysis.

This thesis describes the design, development, characterisation and clinical translation of three novel devices for optical endoscopic imaging. Over the past decade, rapid innovation in optics and photonics has led to the availability of low-cost and high-performance optical technologies that can be exploited for biomedical applications, but relatively few have been translated into clinic. The work presented outlines for the first time, a comprehensive analysis of the common barriers and unique challenges associated with the translation of optical imaging techniques. To assist developers streamline translation of optical imaging devices in future, a roadmap to clinical translation is outlined, and key translational characteristics are defined. Guided by these, subsequent development of endoscopic devices resulted in preparation and approval of endoscopes for first in human trials in the oesophagus, for early detection of cancer, and in the brain, for delineation of tumour during surgical resection. The thesis culminates in the presentation of results from the first in human use of a compact multispectral endoscope for imaging endogenous tissue contrast in the oesophagus. With continuation of the work as outlined at the end of this thesis, the novel techniques described have the potential to improve the standard of care in their respective indications.

This book provides a comprehensive survey of the pharmacokinetic models used for the quantitative interpretation of contrast-enhanced imaging. It discusses all the available imaging technologies and the problems related to the calibration of the imaging system and accuracy of the estimated physiological parameters. Enhancing imaging modalities using contrast agents has opened up new opportunities for going beyond morphological information and enabling minimally invasive assessment of tissue and organ functionality down to the molecular level. In combination with mathematical modeling of the contrast agent kinetics, contrast- enhanced imaging has the potential to provide clinically valuable additional information by estimating quantitative physiological parameters. The book presents the broad spectrum of diagnostic possibilities provided by quantitative contrast-enhanced imaging, with a particular focus on cardiology and oncology, as well as novel developments in the area of quantitative molecular imaging along with their potential clinical applications. Given the variety of available techniques, the choice of the appropriate imaging modality and the most suitable pharmacokinetic model is often challenging. As such, the book provides a valuable technical guide for researchers, clinical scientists, and experts in the field who wish to better understand and properly apply tracer-kinetic modeling for quantitative contrast-enhanced imaging.