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.

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.

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.

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

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.

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.

This is the most comprehensive book to be written on the subject of fetal MRI. It provides a practical hands-on approach to the use of state-of-the-art MRI techniques and the optimization of sequences. Fetal pathological conditions and methods of prenatal MRI diagnosis are discussed by organ system, and the available literature is reviewed. Interpretation of findings and potential artifacts are thoroughly considered with the aid of numerous high-quality illustrations. In addition, the implications of fetal MRI are explored from the medico-legal and ethical points of view. This book will serve as a detailed resource for radiologists, obstetricians, neonatologists, geneticists, and any practitioner wanting to gain an in-depth understanding of fetal MRI technology and applications. In addition, it will provide a reference source for technologists, researchers, students, and those who are implementing a fetal MRI service in their own facility.

Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD. Features: Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems' ability to diagnose and identify health disorders. Presents concepts of CAD for biomedical modalities in different disorders. Discusses design and simulation examples, issues, and challenges. Illustrates bio-potential signals and their appropriate use in studying different disorders. Includes case studies, practical examples, and research directions. Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.

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

The Physiological Measurement Handbook presents an extensive range of topics that encompass the subject of measurement in all departments of medicine. The handbook describes the use of instruments and techniques for practical measurements required in medicine. It covers sensors, techniques, hardware, and software as well as information on processing systems, automatic data acquisition, reduction and analysis, and their incorporation for diagnosis. Suitable for both instrumentation designers and users, the handbook enables biomedical engineers, scientists, researchers, students, health care personnel, and those in the medical device industry to explore the different methods available for measuring a particular physiological variable. It helps readers select the most suitable method by comparing alternative methods and their advantages and disadvantages. In addition, the book provides equations for readers focused on discovering applications and solving diagnostic problems arising in medical fields not necessarily in their specialty. It also includes specialized information needed by readers who want to learn advanced applications of the subject, evaluative opinions, and possible areas for future study.

Although many radiation protection scientists and engineers use dose coefficients, few know the origin of those dose coefficients. This is the first book in over 40 years to address the topic of radiation protection dosimetry in intimate detail. Advanced Radiation Protection Dosimetry covers all methods used in radiation protection dosimetry, including advanced external and internal radiation dosimetry concepts and regulatory applications. This book is an ideal reference for both scientists and practitioners in radiation protection and students in graduate health physics and medical physics courses. Features: A much-needed book filling a gap in the market in a rapidly expanding area Contains the history, evolution, and the most up-to-date computational dosimetry models Authored and edited by internationally recognized authorities and subject area specialists Interrogates both the origins and methodologies of dose coefficient calculation Incorporates the latest international guidance for radiation dosimetry and protection

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

"This book presents the technology evaluation methodology from the point of view of radiological physics and contrasts the purely physical evaluation of image quality with the determination of diagnostic outcome through the study of observer performance. The reader is taken through the arguments with concrete examples illustrated by code in R, an open source statistical language." - from the Foreword by Prof. Harold L. Kundel, Department of Radiology, Perelman School of Medicine, University of Pennsylvania "This book will benefit individuals interested in observer performance evaluations in diagnostic medical imaging and provide additional insights to those that have worked in the field for many years." - Prof. Gary T. Barnes, Department of Radiology, University of Alabama at Birmingham This book provides a complete introductory overview of this growing field and its applications in medical imaging, utilizing worked examples and exercises to demystify statistics for readers of any background. It includes a tutorial on the use of the open source, widely used R software, as well as basic statistical background, before addressing localization tasks common in medical imaging. The coverage includes a discussion of study design basics and the use of the techniques in imaging system optimization, memory effects in clinical interpretations, predictions of clinical task performance, alternatives to ROC analysis, and non-medical applications. Dev P. Chakraborty, PhD, is a clinical diagnostic imaging physicist, certified by the American Board of Radiology in Diagnostic Radiological Physics and Medical Nuclear Physics. He has held faculty positions at the University of Alabama at Birmingham, University of Pennsylvania, and most recently at the University of Pittsburgh.

On-treatment verification imaging has developed rapidly in recent years and is now at the heart of image-guided radiation therapy (IGRT) and all aspects of radiotherapy planning and treatment delivery. This is the first book dedicated to just this important topic, which is written in an accessible manner for undergraduate and graduate therapeutic radiography (radiation therapist) students and trainee medical physicists and clinicians. The later sections of the book will also help established medical physicists, therapeutic radiographers, and radiation therapists familiarise themselves with developing and cutting-edge techniques in IGRT. Features: Clinically focused and internationally applicable; covering a wide range of topics related to on-treatment verification imaging for the study of IGRT Accompanied by a library of electronic teaching and assessment resources for further learning and understanding Authored by experts in the field with over 18 years' experience of pioneering the original forms of on-treatment verification imaging in radiotherapy (electronic portal imaging) in clinical practice, as well as substantial experience of teaching the techniques to trainees

This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact pipeline from the foundations of topology to biomedical applications. It will be of interest to medical physicists, computer scientists, and engineers, as well as undergraduate and graduate students interested in this topic. Features: Presents a practical guide to algebraic topology as well as persistence homology Contains application examples in the field of biomedicine, including the analysis of histological images and point cloud data

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.

Spreading to every corner of the Earth, the COVID-19 virus has had an unparalleled impact on all aspects of our lives. This book explores in detail how the COVID-19 pandemic has affected clinical practice, education, and research in medical physics, and how colleagues on the frontline dealt with this unpredictable and unprecedented pandemic. It tackles key questions such as: How did medical physicists first respond to the situation? What innovative strategies were taken and how effective were they? How are medical physicists preparing for the future? There will be a focus on the different experiences of regional medical physicists and the responses and outlooks in clinical practice, education, and research in the affected continents, Asia-Pacific, the Middle East, Europe, Africa and North and Latin America. With over 91 contributors from 39 countries, this unique resource contains key perspectives from teams from each territory to ensure a global range of accounts. The collective opinion and wisdom from the major medical physics journal editors-in-chief are also explored, alongside how the pandemic has affected the quantity and quality of publications. Voices of early-career researchers and students of medical physics will be included, with narratives of their experiences coping with life during the pandemic. Lastly, communicating leadership in times of adversity is highlighted. This book will be a historic account of the impact of the COVID-19 virus on the field of medical physics. It will be an ideal reference for medical physicists, medical physics trainees and students, hospital administrators, regulators, and healthcare professionals allied with medical physics. Key features: The first book to cover the impact of COVID-19 on the field of medical physics Edited by two experts in the field, with chapter contributions from subject area specialists around the world Broad, global coverage, ranging from the impact on teaching, research, and publishing, with unique perspectives from journal editors and students and trainees

This book explains transparency in biology with emphasis on bending and absorption, which together are the essence of transparency. The reader is provided with an understanding of why the interior of the body can be made to appear transparent through the application of elementary physics. Based on the principle of transparency, emerging imaging techniques using near-infrared light to view the body transparently are explained with examples such as cancer detection and temperature imaging of deep tissues. This book is useful to many researchers, including biologists, physicists, chemists, materials scientists, and device engineers as well as developers-all who seek a deep understanding of transparency in bioimaging.