As useful to students and nuclear professionals as its popular predecessors, this fifth edition provides the most up-to-date and accessible introduction to radiation detector materials, systems, and applications. There have been many advances in the field of radiation detection, most notably in practical applications. Incorporating these important developments, Measurement and Detection of Radiation, Fifth Edition provides the most up-to-date and accessible introduction to radiation detector materials, systems, and applications. It also includes more problems and updated references and bibliographies, and step-by-step derivations and numerous examples illustrate key concepts. New to the Fifth Edition: * Expanded chapters on semiconductor detectors, data analysis methods, health physics fundamentals, and nuclear forensics. * Updated references and bibliographies. * New and expanded problems.

Leading experts in the use of MRI explain its basic principles and demonstrate its power to understand biological processes with numerous cutting-edge applications. To illustrate its capability to reveal exquisite anatomical detail, the authors discuss MRI applications to developmental biology, mouse phenotyping, and fiber architecture. MRI can also provide information about organ and tissue function based on endogenous cantrast mechanisms. Examples of brain, kidney, and cardiac function are included, as well as applications to neuro and tumor pathophysiology. In addition, the volume demonstrates the use of exogenous contrast material in functional assessment of the lung, noninvasive evaluation of tissue pH, the imaging of metabolic activity or gene expression that occur on a molecular level, and cellular labeling using superparamagnetic iron oxide contrast agents. A companion CD contains all figures in color used in the book.

Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

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

Covers different modalities for improvement of healthcare system Describes implementation strategies and their applications in diagnosis of modalities Reviews automatic identification of related disorders using medical modality Discusses bio-potential signals and their appropriate analysis for studying different disorders Includes case studies, real-time examples and research directions

Radioactive drug development is a multi-disciplinary task, therefore, in a concerted effort, dedicated scientists and experts from different fields of specialisation have contributed to this book. It is presented in two sections. Section 1 contains basic principles and methods used for analysis, information on the chemistry of technetium and on radiopharmaceuticals labelled with technetium-99m, the characteristics of the 99 Mo/99mTc-generator, of 'kits' and formulations for in-vitro labelling, and special safety aspects for in-vivo labelling of blood cells. Section 2 contains monographs of 99mTc-radiopharmaceuticals used in nuclear medicine. Each monograph includes information on the chemistry, formulation, commercial products and trade names, factors affecting in-vivo performance, clinical information on pharmacokinetics, as well as details concerning the clinical application and the radiation dose to patients.

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

Advances in digital technology led to the development of digital x-ray detectors that are currently in wide use for projection radiography, including Computed Radiography (CR) and Digital Radiography (DR). Digital Imaging Systems for Plain Radiography addresses the current technological methods available to medical imaging professionals to ensure the optimization of the radiological process concerning image quality and reduction of patient exposure. Based on extensive research by the authors and reference to the current literature, the book addresses how exposure parameters influence the diagnostic quality in digital systems, what the current acceptable radiation doses are for useful diagnostic images, and at what level the dose could be reduced to maintain an accurate diagnosis. The book is a valuable resource for both students learning the field and for imaging professionals to apply to their own practice while performing radiological examinations with digital systems.

Advanced Imaging of the Abdomen is invaluable to the practising radiologist, and the more senior radiology resident and fellow, who is looking for a background reference source when discussing a suggested imaging approach with the referring physician.

The book includes extensive lists, tables, line drawings and illustrations - ultrasonography, computed tomography, magnetic resonance images, scintigraphy. It bridges the interface between the referring clinician and radiologist when faced with a patient suspected of having a complex or more unusual abdominal condition.

This book comprises select peer-reviewed papers presented at the International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018) organized by Department of Biomedical Engineering, National Institute of Technology Raipur, Chhattisgarh, India. The book covers latest research in a wide range of biomedical technologies ranging from biomechanics, biomaterials, biomedical instrumentation to tele-medicine, internet of things, bioinformatics, medical signal and image processing. The contents aim to bridge the gap between laboratory research and feasible market products by identifying potential technologies to enhance functionalities of diagnostic and therapeutic devices. The book will be of use to researchers, biomedical engineers, as well as medical practitioners.

This issue of Radiologic Clinics focuses on Advanced Neuroimaging in Brain Tumors and is edited by Dr. Sangam Kanekar. Articles will include: Imaging findings of new entities and patterns in brain tumor: IDH mutant, IDH wildtype, Codeletion, and MGMT methylation; CT and MR perfusion imaging in neuro-oncology; Application of diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) in the pre- and post-surgical evaluation of brain tumor; Clinical applications of magnetic resonance spectroscopy (MRS) in of brain tumors: grading and recurrence; Cellular and molecular imaging with PET and SPECT in brain tumors; Role of Functional MRI (fMRI) in the presurgical mapping of brain tumor; Imaging surveillance of gliomas: role of advanced imaging techniques; Neoplastic meningitis and paraneoplastic syndrome-role of imaging; Imaging of neurologic injury following oncologic therapy; RadioGenomics of brain tumor; Imaging mimics of brain tumors; Imaging of tumor syndromes; and more!

This book examines the use of biomedical signal processing-EEG, EMG, and ECG-in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

This book explains clearly and in detail all aspects of radiation protection in nuclear medicine, including measurement quantities and units, detectors and dosimeters, and radiation biology. Discussion of radiation doses to patients and to embryos, fetuses, and children forms a central part of the book. Phantom models, biokinetic models, calculations, and software solutions are all considered, and a further chapter is devoted to quality assurance and reference levels. Occupational exposure also receives detailed attention. Exposure resulting from the production, labeling, and injection of radiopharmaceuticals and from contact with patients is discussed and shielding calculations are explained. The book closes by considering exposure of the public and summarizing the "rules of thumb" for radiation protection in nuclear medicine. This is an ideal textbook for students and a ready source of useful information for nuclear medicine specialists and medical physics experts.

Images in Urology is a unique book that integrates images of urological conditions within their clinical context. Improvements in imaging techniques have meant greater diagnostic power and a dramatic rise in the number and quality of images obtained and viewed by practicing clinicians. None more so than in the field of urology, where static and dynamic images are fundamental to the diagnosis and treatment of almost all conditions. This book presents images of radiological and radionucleotide scans, macroscopic and microscopic histopathology specimens, urodynamic traces and photographs of dermatological conditions relating to urology. Each section has a series of questions, often relating to a clinical scenario, about the images. A comprehensive answer provides a description of each image and of the condition shown. Details of how to interpret the image and the use of contrast or staining methods to help differentiate normal anatomy from pathology are included. Images in Urology is an essential tool for urology, radiology and histopathology trainees and consultants, as well as being an excellent exam preparation guide.

This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it's forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

In recent years, molecular imaging techniques have grown to be invaluable tools for molecular biology research and, to a more modest extent, clinical medicine. In Molecular Imaging: Methods and Protocols, expert researchers explore the latest advances in the field, describing a rich variety of practical procedures and methods for diverging imaging technologies. Chapters are divided into sections that cover the imaging of basic molecular and biochemical events, imaging in pre-clinical settings, and imaging in clinical settings. Composed in the highly successful Methods in Molecular Biology(TM) series format, each chapter contains a brief introduction, step-by-step methods, a list of necessary materials, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls. Comprehensive and ground-breaking, Molecular Imaging: Methods and Protocols is an essential handbook for students, established practitioners, and research fellows alike.

Explore important research approaches and concepts within diagnostic radiography Provide contemporary evidence-based practice regarding mixed method approaches Provide a clear and 'how to guide' for understanding key research principles in a wide range of radiographic settings Evaluate the impact of research on patients and the radiographer-patient relationship

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.

This book explores novel methods for implementing X-ray diffraction technology as an imaging modality, which have been made possible through recent breakthroughs in detector technology, computational power, and data processing algorithms. The ability to perform fast, spatially-resolved X-ray diffraction throughout the volume of a sample opens up entirely new possibilities in areas such as material analysis, cancer diagnosis, and explosive detection, thus offering the potential to revolutionize the fields of medical, security, and industrial imaging and detection. Featuring chapters written by an international selection of authors from both academia and industry, the book provides a comprehensive discussion of the underlying physics, architectures, and applications of X-ray diffraction imaging that is accessible and relevant to neophytes and experts alike. Teaches novel methods for X-ray diffraction imaging Comprehensive and self-contained discussion of the relevant physics, imaging techniques, system components, and data processing algorithms Features state-of-the-art work of international authors from both academia and industry. Includes practical applications in the medical, industrial, and security sectors

Prepare for—and excel on—the American Registry for Diagnostic Medical Sonography (ARDMS) and American Registry of Radiologic Technologists (ARRT) certification exams! Steven M. Penny’s Examination Review for Ultrasound: Abdomen & Obstetrics and Gynecology, 3rd Edition, focuses only on the information that you’ll see on these exams, saving you valuable study time. Now in full color throughout, it uses a concise, narrative approach and features an online exam simulator with hundreds of registry-style questions.  60 review questions for each chapter—1,920 total—plus an online exam simulator with even more sophisticated mock exams customizable for both the ARDMS Abdomen and OB/GYN and the comprehensive ARRT exams  Full alignment with ARDMS and ARRT revised content outlines, with pathology coverage in each chapter and new topics throughout  More than 1,000 sonographic images and diagrams—many new to this edition—increase your understanding of anatomy and the physiologic principles crucial to optimal sonographic practice and the comprehension of vital information  Organized boxes and charts, that include lab values, pair clinical findings with sonographic findings, allowing for summary, retention, and demonstrates the progression from clinical presentation to the utilization of sonographic imaging in the diagnosis of disease  Highlighted key terms throughout with definitions help you retain critical information and solidify your understanding of the material  ​ 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 provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations). This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use. Features: Up-to-date with the latest technologies in the field Edited by leading authorities in the area, with chapter contributions from subject area specialists All approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine

This is the first all-encompassing textbook designed to support trainee clinical scientists in medical physics as they start work in a hospital setting whilst undertaking an academic master's course. Developed by practising physicists and experienced academics using their experience of teaching trainee medical physicists, this book provides an accessible introduction to the daily tasks that clinical scientists perform in the course of their work. It bridges the gap between theory and practice, making the book also suitable for advanced undergraduate and graduate students in other disciplines studying modules on medical physics, including those who are considering a career in medical physics through applying to the NHS Scientist Training Programme (STP). Features: Provides an accessible introduction to practical medical physics within a hospital environment Maps to the course content of the Scientist Training Programme in the NHS Acts as a complement to the academic books often recommended for medical physics courses

This book explores the physics of CT dosimetry and provides practical guidance on best practice for medical researchers and practitioners. A rigorous description of the basic physics of CT dosimetry is presented and illustrates flaws of the current methodology. It also contains helpful (and rigorous) shortcuts to reduce the measurement workload for medical physicists. The mathematical rigor is accompanied by easily-understood physical explanations and numerous illustrative figures. Features: Authored by a recognised expert in the field and award-winning teacher Includes derivations for tube current modulation and variable pitch as well as stationary table techniques Explores abnormalities present in dose-tracking software based on CTDI and presents methods to correct them

Computational Biomechanics for Medicine: Solid and fluid mechanics for the benefit of patients contributions and papers from the MICCAI Computational Biomechanics for Medicine Workshop help in conjunction with Medical Image Computing and Computer Assisted Intervention conference (MICCAI 2019) in Shenzhen, China. The content is dedicated to research in the field of methods and applications of computational biomechanics to medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. These proceedings appeal to researchers, students and professionals in the field.

Neurological applications of PET include using it to identify Alzheimer's Disease, including differentiating between other forms of Dementia, to show causes of seizures that were otherwise unclear, and to diagnose psychiatric disorders like Schizophrenia. Although other books on PET may have a chapter or section on neurological applications, this is the only comprehensive and up-to-date book on neurological PET. It reviews PET in neuroscience with particular emphasis on findings that indicate its potential for improving diagnosis and treatment in neurology and psychiatry. Improving the transfer of the huge scientific developments in brain PET into clinical care will produce tangible human benefit. To this end, NeuroPET focuses on practical and potentially clinically relevant issues and identify solid ground as well as open questions. In addition, the book includes major chapters on the methodological background, including tracer physiology and kinetic modeling, and a comprehensive literature review. Included in this extremely useful package is a CD-ROM that features video clips and interactive navigation in 3D data sets that illustrate the information contained in PET images in major neurological diseases and its potential to improve diagnosis and neurosurgical planning in brain tumors.