Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifying malignant melanoma. Dermoscopy Image Analysis summarizes the state of the art of the computerized analysis of dermoscopy images. The book begins by discussing the influence of color normalization on classification accuracy and then: Investigates gray-world, max-RGB, and shades-of-gray color constancy algorithms, showing significant gains in sensitivity and specificity on a heterogeneous set of images Proposes a new color space that highlights the distribution of underlying melanin and hemoglobin color pigments, leading to more accurate classification and border detection results Determines that the latest border detection algorithms can achieve a level of agreement that is only slightly lower than the level of agreement among experienced dermatologists Provides a comprehensive review of various methods for border detection, pigment network extraction, global pattern extraction, streak detection, and perceptually significant color detection Details a computer-aided diagnosis (CAD) system for melanomas that features an inexpensive acquisition tool, clinically meaningful features, and interpretable classification feedback Presents a highly scalable CAD system implemented in the MapReduce framework, a novel CAD system for melanomas, and an overview of dermatological image databases Describes projects that made use of a publicly available database of dermoscopy images, which contains 200 high-quality images along with their medical annotations Dermoscopy Image Analysis not only showcases recent advances but also explores future directions for this exciting subfield of medical image analysis, covering dermoscopy image analysis from preprocessing to classification.

This brand new guide assists students, interns and residents in developing a functional understanding of the set-up, workings and interpretation of ECGs * Step-by-step graphics and short, bite-sized explanations * Covers all major cardiac abnormalities including hypertrophy, arrhythmias, conduction blocks, and pre-excitation syndromes * Begins with a section on physiology of the heart and the basic set up of ECG recording * Features top tips on what to look for, complete with illustrated examples * Supported by a companion website featuring additional practice tracings

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.

This book is a practical guide to the revolutionary technique of non-invasive, dyeless OCT angiography imaging. This new diagnostic tool complements, and in part replaces, fluorescein angiography. Beginning with an introduction to the principles and interpretation of OCT angiography, the book covers operating principles, recent advances, the future of OCT, and diagnosis of vascular retinopathies. The book describes how this new technology is used to study inner and outer retina disorders, both qualitatively and quantitatively, and to classify choroidal neovascularisation (CNV) in a non-invasive manner, highlighting morphology, flow and depth. It also provides new technical and clinical information on the study of glaucoma. Presented in a step by step format, the book is highly illustrated with images obtained from Optovue's Avanti Widefield OCT hardware platform and Angiovue OCT angiography software. Key Points Practical guide to revolutionary technique of non-invasive, dyeless OCT angiography imaging Covers principles and interpretation, operating principles, recent advances, future of OCT and diagnosis of vascular retinopathies All images obtained from Optovue's Avanti Widefield OCT hardware platform and Angiovue OCT angiography software Highly experienced, well-recognised author team led by Prof Bruno Lumbroso

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.

Thoracic Imaging, Second Edition, written by two of the world's most respected specialists in thoracic imaging, is the most comprehensive text-reference to address imaging of the heart and lungs. Inside you'll discover the expert guidance required for the accurate radiologic assessment and diagnosis of both congenital and acquired cardiovascular and pulmonary diseases. New topics in this edition include coronary artery CT, myocardial disease, pericardial disease, and CT of ischemic heart disease. This edition has a new full-color design and many full-color images, including PET-CT. A companion website will offer fully searchable text and images.

A visit to a physician these days is cold: physicians spend most of their time typing at computers, making minimal eye contact. Appointments generally last only a few minutes, with scarce time for the doctor to connect to a patient's story, or explain how and why different procedures and treatments might be undertaken. As a result, errors abound: indeed, misdiagnosis is the fourth-leading cause of death in the United States, trailing only heart disease, cancer, and stroke. This is because, despite having access to more resources than ever, doctors are vulnerable not just to the economic demand to see more patients, but to distraction, burnout, data overload, and their own intrinsic biases. Physicians are simply overmatched. As Eric Topol argues in Deep Medicine, artificial intelligence can help. Natural-language processing could automatically record notes from our doctor visits; virtual psychiatrists could better predict the risk of suicide or other mental health issues for vulnerable patients; deep-learning software will make every physician a master diagnostician; and we could even use smartphone apps to take our own medical "selfies" for skin exams and receive immediate analysis. . On top of that, the virtual smartphone assistants of today--Alexa, Siri, Cortana--could analyze our daily health data to reduce the need for doctor visits and trips to the emergency room, and support for people suffering from asthma, epilepsy, and heart disease. By integrating tools like these into their daily medical practice, doctors would be able to spend less time collecting and cataloging information, and more time providing thorough, intimate, and meaningful care for their patients, as no machine can. Artificial intelligence can also help remedy the debilitating cost of healthcare, both for individuals and the economy writ large. The medical sector now absorbs 20 percent of the US gross domestic product--it is largest sector by dollars and jobs. And it's very inefficient. Take the cost of medical scans: There are over 20 million medical scans performed in the US every day, and an MRI, for example, costs hundreds to thousands of dollars. AI could process 260 million medical scans (more than 2 weeks' worth) in less than 24 hours for a cost of only $1000. We pay billions and billions of dollars for the same work today. The American health care system needs a serious reboot, and artificial intelligence is just the thing to press the restart button. As innovative as it is hopeful, Deep Medicine ultimately shows us how we can leverage artificial intelligence for better care at lower costs with more empathy, for the benefit of patients and physicians alike.

This book contains chapters from experts in the fields of brain imaging, clinical neuroscience, and cognitive neuroscience who have studied the aging brain. Topics covered include technical factors in brain imaging, pathological basis of age-related structural and functional changes, neurochemistry and genetics of brain imaging in aging, and the use of imaging techniques in diagnosis, longitudinal testing, drug development and testing, and presymptomatic detection. The book is intended to be both a detailed review of the current status of brain imaging and aging and to serve as an introduction to the field for those who may be starting investigations using imaging techniques of PET, structural MRI, and functional MRI. It covers basic science approaches such as using fMRI to probe networks, as well as recent developments like amyloid imaging and the use of imaging as a biomarker in clinical trials.

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.

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.

Diagnostic radiology plays a vital role in patient management and all clinicians need to be able to recognize the radiological appearances of many medical conditions. Not only are traditional imaging techniques important, but newer techniques such as interventional radiology, computed tomography, magnetic resonance imaging, nuclear medicine, and ultrasound are increasingly important to clinical practice. The interpretation of radiological images is also an integral part of professional examinations within general surgery. This book covers all modalities in radiology, providing a guide to the principles of plain radiographic film interpretation and an understanding of the roles and limitations of more complex imaging across general surgery. The use of contrast agents, radiation dosage, and guidance on the interpretation of some imaging modalities such as the chest and abdominal radiograph, intravenous urogram, and barium studies are included. The material is presented through the discussion of 101 fully illustrated cases which take a question and full answer format. Aimed primarily at surgical trainees facing the MRCS examinations, this book will also be of value to radiology trainees, junior doctors, senior medical students, and established clinicians that wish to refresh their knowledge in radiology.

Stereology is a valuable tool for neuroscientists, allowing them to obtain 3-Dimensional information from 2-Dimensional measurements made on appropriately sampled sections (usually obtained from histological sections or MRI/CT/PET scans). This 3-D information is invaluable in correlating
structural/functional relationships in the pursuit of far greater understanding of the function of the central nervous system. However, in carrying out such measurements, often based on limited data sets, there is a risk of experimenter bias. An important feature of modern design based stereology is
to be aware of potential sources of bias and eliminate them during the data collection. With many of the major neuroscience journals now insisting that quantitative data be presented, there is a greater need than ever for neuroscientists to understand the theory and practice behind quantitative
methods, such as those offered by stereology. Quantitive Methods in Neuroscience is a cookbook of stereological methods written especially for neuroscientists. It provides clear and accessible advice about when and when not to use stereology. Throughout the book, the emphasis is on practical
guidance, rather than discussions and formulae. Written by leading scientists in the field of stereology, with a Foreword by D.C. Sterio, the book will be a valuable introduction to these methods for neuroscientists, and all those involved in development of new drug programmes.

The acclaimed quick-reference guide to performing and interpreting emergency ultrasound exams More than 400 ultrasound images! Spanning all body systems typically evaluated by ultrasound, this succinct, find-it-now pocket atlas allows you to instantly compare and contrast your real-time images with those appearing in the book. You will also find valuable how-to guidance on essentials such as probe placement, patient positioning, and proper settings - along with anatomical drawings that help you visualize affected organs. Featuring concise, bulleted text, and more than 400 ultrasound images and dozens of line drawings, Emergency Ultrasound, Second Edition is specifically designed to be used at the bedside in an emergency care setting. Coverage includes: * Clinical Considerations * Clinical Indications * Anatomic Considerations * Technique and Normal Findings * Tips to Improve Imaging Acquisition * Common and Emergency Abnormalities * Pitfalls

Medical imaging is an important topic which is generally recognised as key to better diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.This book focuses primarily on state-of-the-art model-based segmentation techniques which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors based in both industry and academia and presents a host of new material including algorithms for:- brain segmentation applied to MR;- neuro-application using MR; - parametric and geometric deformable models for brain segmentation;- left ventricle segmentation and analysis using least squares and constrained least squares models for cardiac X-rays; - left ventricle analysis in echocardioangiograms;- breast lesion detection in digital mammograms;detection of cells in cell images.As an overview of the latest techniques, this book will be of particular interest to students and researchers in medical engineering, image processing, computer graphics, mathematical modelling and data analysis. It will also be of interest to researchers in the fields of mammography, cardiology, pathology and neurology.

Prepare for success on the musculoskeletal imaging component of the radiology Core Exam! Musculoskeletal Imaging: A Core Review, Second 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, high-yield tables for easy review, 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, congenital and developmental spine/extremity anomalies and dysplasias, infection, tumors and tumor-like conditions, trauma, metabolic and hematologic disorders, arthropathy, and more. Accompanies each question 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 is an introduction to recent developments in the application of wave-splitting methods to direct and inverse scattering of wave fields. Here wave-splitting refers to the decomposition of the total field into two components which propagate in opposite directions. Although the text emphasizes time domain methods, it includes some applications to frequency domain problems.

This clinically oriented book provides an up-to-date review on the various hybrid imaging modalities that may be employed for the purpose of cardiac imaging. After discussion of generic aspects of hybrid imaging, SPECT/CT, PET/CT, and PET/MRI are each considered in depth. In addition, information is provided on upcoming technologies, such as dedicated so-called fast cardiac cameras (CZT detector technology) and novel probes and radiotracers. A wide variety of topics are addressed, including important technological aspects, possible applications, imaging protocols, peculiarities of the available modalities, radiation exposure, and dose reduction. Last but not least, an estimation of the cost efficiency of dedicated and hybrid imaging devices in cardiology is provided and possible scenarios with respect to health care economics are envisioned. Hybrid Cardiac Imaging will be of particular value for nuclear medicine specialists, cardiologists, and radiologists and will also be of interest to medical physicists, medical technicians, and cardiothoracic surgeons.

The available information on breast cancer has evolved so rapidly that a textbook understanding is no longer sufficient to make sound therapeutic decisions. Further, the latest findings and data are spread throughout the scientific literature of various medical fields, making it difficult for medical professionals to keep abreast of these advances, and to apply them in their day-to-day work. This book provides updated information on breast cancer, such as the modern molecular classification and staging, and demonstrates how imaging with pathologic correlation can be used in management decisions. In addition, it identifies the most suitable imaging modalities for screening, diagnosis and monitoring for each clinical case. Given its scope, the book offers a valuable resource for all medical professionals (practicing or still in training) whose work involves breast cancer, including radiologists, breast surgeons, pathologists, radiotherapists and nuclear medicine professionals.

This book constitutes the refereed joint proceedings of the 5th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2022, held in September 2022, in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022. The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention.

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning - domain adaptation and generalization; Part VIII: Machine learning - weakly-supervised learning; machine learning - model interpretation; machine learning - uncertainty; machine learning theory and methodologies.

This book constitutes the refereed proceedings of the First International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2021. The 10 full papers and 1 short papers presented at PIPPI 2022 were carefully reviewed and selected from 12 submissions. PIPPI 2022 workshop complements the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis, including the application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data.

This book constitutes the refereed proceedings of the first International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022. The 16 papers presented at CaPTion 2022 were carefully reviewed and selected from 21 submissions. The workshop invites researchers to submit their work in the field of medical imaging around the central theme of early cancer detection, and it strives to address the challenges that are required to be overcomed to translate computational methods to clinical practice through well designed, generalizable (robust), interpretable and clinically transferable methods.