Smart materials are the way of the future in a variety of fields, from biomedical engineering and chemistry to nanoscience, nanotechnology, and robotics. Featuring an interdisciplinary approach to smart materials and structures, this second edition of Artificial Muscles: Applications of Advanced Polymeric Nanocomposites has been fully updated to thoroughly review the latest knowledge of ionic polymeric conductor nanocomposites (IPCNCs), including ionic polymeric metal nanocomposites (IPMNCs) as biomimetic distributed nanosensors, nanoactuators, nanotransducers, nanorobots, artificial muscles, and electrically controllable intelligent polymeric network structures. Authored by one of the founding fathers of the field, the book introduces fabrication and manufacturing methods of several electrically and chemically active ionic polymeric sensors, actuators, and artificial muscles, as well as a new class of electrically active polymeric nanocomposites and artificial muscles. It also describes a few apparatuses for modeling and testing various artificial muscles to show the viability of chemoactive and electroactive muscles. It presents the theories, modeling, and numerical simulations of ionic polymeric artificial muscles' electrodynamics and chemodynamics and features current industrial and medical applications of IPMNCs. By covering the fabrication techniques of and novel developments in advanced polymeric nanocomposites, this second edition continues to provides an accessible yet solid foundation to the subject while stimulating further research. Key features: Fully up to date with the latest cutting-edge discoveries in the field Authored by a world expert in the subject area Explores the exciting and growing topic of smart materials in medicine Mohsen Shahinpoor is Professor of Mechanical Engineering at the University of Maine and a leading expert in artificial muscles.

From Roentgen to Rembrandt, Hounsfield to Hollywood and Vesalius to videogames, Imagining Imaging explores the deeply entwined relationship between art (and visual-based culture) and radiology / medical imaging. Including artworks from numerous historical eras representing varied geographic locations and visual traditions, alongside a diverse range of contemporary artists, Dr Jackson argues that the foundations of medical image construction and interpretation were laid down in artistic innovations dating back hundreds and thousands of years. Since the discovery of X-rays, artists and moviemakers have, in turn, drawn rich inspiration from radiographic imagery and concepts, but the process of cross-pollination between art and science has continued, with creative endeavour continuing to mould medical imaging examinations to this day. Blending a unique mix of art, science and medical history, together with aspects of visual neurophysiology and psychology, Imagining Imaging is essential reading for radiologists, radiographers and artists alike. Peppered with familiar TV and film references, personal insights into the business of image interpretation, and delivered in an accessible and humorous style, the book will also appeal to anyone who enjoys looking at pictures. Key features: Engaging synthesis of art and medical history, combined with anecdotes and experiences from a working clinical radiologist Diverse range of visual reference points including astronomy, botany and cartography, alongside comprehensive discussion of medical imaging modalities including plain radiography, ultrasound, CT and MRI 200 full colour illustrations

From Roentgen to Rembrandt, Hounsfield to Hollywood and Vesalius to videogames, Imagining Imaging explores the deeply entwined relationship between art (and visual-based culture) and radiology / medical imaging. Including artworks from numerous historical eras representing varied geographic locations and visual traditions, alongside a diverse range of contemporary artists, Dr Jackson argues that the foundations of medical image construction and interpretation were laid down in artistic innovations dating back hundreds and thousands of years. Since the discovery of X-rays, artists and moviemakers have, in turn, drawn rich inspiration from radiographic imagery and concepts, but the process of cross-pollination between art and science has continued, with creative endeavour continuing to mould medical imaging examinations to this day. Blending a unique mix of art, science and medical history, together with aspects of visual neurophysiology and psychology, Imagining Imaging is essential reading for radiologists, radiographers and artists alike. Peppered with familiar TV and film references, personal insights into the business of image interpretation, and delivered in an accessible and humorous style, the book will also appeal to anyone who enjoys looking at pictures. Key features: Engaging synthesis of art and medical history, combined with anecdotes and experiences from a working clinical radiologist Diverse range of visual reference points including astronomy, botany and cartography, alongside comprehensive discussion of medical imaging modalities including plain radiography, ultrasound, CT and MRI 200 full colour illustrations

-Presents a practical, case-based approach -Includes real clinical problems and examples, with worked through solutions -Written in an accessible and student friendly manner

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

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

Designed to provide those engaged in modern medical imaging with a coherent perspective of the entire discipline so that one protocol is no longer an isolated or independent mode of imaging from others, to wit: single photon emission computed tomography (SPECT), positron emission tomography (PET) or magnetic resonance imaging (MRI). Introduces biomagnetic imaging as a third new modality.

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

Following recent developments in hypofractionated stereotactic radiation therapy (SRT) for brain and spine tumors, this new edition offers a fully updated and comprehensive "how-to" guidance on hypofractionated SRT for brain and spine metastases, glioma, benign tumors, and other tumor types. Presenting the state of the art of the technology and practice, this book: * Discusses the pros and cons of hypofractionated SRT compared to single-fraction radiosurgery, providing a deeper understanding of radiosurgery and radiobiology * Explains the toxicity and adverse effects of hypofractionated SRT including the dosage of 24 Gy in two spine SBRT fractionation schemes, aiding practitioners in communicating the risks and benefits of treatment and in obtaining consent from their patients * Outlines the current standards for safe practice, including checklists for implementation * Explores new technologies for brain and spine tumors including LITT, MR-guided focused ultrasound, and Zap technology, with chapters authored by well-recognized experts in the radiation, oncology, and neurosurgery communities; this book delivers a level of technological and clinical detail not available in journal papers This book is suitable for radiation oncologists, neurosurgeons, and medical physicists who specialize in brain and/or spine radiosurgery or want to start a program and need a comprehensive reference with key checklists for practice.

This unique book provides an accessible introduction to both the scientific background and the key people involved in the discovery and use of radiation and radioactivity. It begins by providing a short history of radiation exposures and radiation poisoning; from the early inappropriate use of X-rays and radium cures through the misadventures of the Manhattan Project and the Chernobyl disaster, to the high-profile and deliberate poisoning of Alexander Litvinenko in London with polonium-210, which gave rise to worldwide media attention. The chapters provide a catalogue of deliberate criminal acts, unfortunate accidents, and inadvertent radiation exposures, exploring well-known events in detail, as well as some not so well-known occurrences. It works through the topics by focusing on human stories and events and their biological impact. In addition, it covers descriptions of the beneficial uses of radiation and radioactivity. This book can be enjoyed by any reader with a general interest in science, as well as by students and professionals within the scientific and medical communities. Key features Authored by a subject area specialist who has worked in both clinical practice and academia and was involved with the national media following incidents of national and international importance Provides a unique human perspective into well-known and some lesser known events and a concise history of the discovery of radiation and the events that followed Adds scientific and medical background to a subject of high media interest

This unique book provides an accessible introduction to both the scientific background and the key people involved in the discovery and use of radiation and radioactivity. It begins by providing a short history of radiation exposures and radiation poisoning; from the early inappropriate use of X-rays and radium cures through the misadventures of the Manhattan Project and the Chernobyl disaster, to the high-profile and deliberate poisoning of Alexander Litvinenko in London with polonium-210, which gave rise to worldwide media attention. The chapters provide a catalogue of deliberate criminal acts, unfortunate accidents, and inadvertent radiation exposures, exploring well-known events in detail, as well as some not so well-known occurrences. It works through the topics by focusing on human stories and events and their biological impact. In addition, it covers descriptions of the beneficial uses of radiation and radioactivity. This book can be enjoyed by any reader with a general interest in science, as well as by students and professionals within the scientific and medical communities. Key features Authored by a subject area specialist who has worked in both clinical practice and academia and was involved with the national media following incidents of national and international importance Provides a unique human perspective into well-known and some lesser known events and a concise history of the discovery of radiation and the events that followed Adds scientific and medical background to a subject of high media interest

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.

Now fully updated, the second edition of Modern Diagnostic X-Ray Sources: Technology, Manufacturing, Reliability gives an up-to-date summary of X-ray source technology and design for applications in modern diagnostic medical imaging. It lays a sound groundwork for education and advanced training in the physics of X-ray production, X-ray interactions with matter, and imaging modalities and assesses their prospects. The book begins with a comprehensive and easy-to-read historical overview of X-ray tube and generator development, including key achievements leading up to the current technological and economic state of the field. The book covers the physics of X-ray generation, including the process of constructing X-ray source devices. The stand-alone chapters can be read in order or in selections. They take you inside diagnostic X-ray tubes, illustrating their design, functions, metrics for validation, and interfaces. The detailed descriptions enable objective comparison and benchmarking. This detailed presentation of X-ray tube creation and functions enables you to understand how to optimize tube efficiency, particularly with consideration for economics and environmental care. It also simplifies faultfinding. Along with covering the past and current state of the field, the book assesses the future regarding developing new X-ray sources that can enhance performance and yield greater benefits to the scientific community and to the public. After heading international R&D, marketing and advanced development for X-ray sources with Philips, and working in the X-ray industry for more than four decades, Rolf Behling retired in 2020 and is now the owner of the consulting firm XtraininX, Germany. He holds numerous patents and is continuously publishing, consulting and training.

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 series Topics in Current Chemistry Collections presents critical reviews from the journal Topics in Current Chemistry organized in topical volumes. The scope of coverage is all areas of chemical science including the interfaces with related disciplines such as biology, medicine and materials science. The goal of each thematic volume is to give the non-specialist reader, whether in academia or industry, a comprehensive insight into an area where new research is emerging which is of interest to a larger scientific audience. Each review within the volume critically surveys one aspect of that topic and places it within the context of the volume as a whole. The most significant developments of the last 5 to 10 years are presented using selected examples to illustrate the principles discussed. The coverage is not intended to be an exhaustive summary of the field or include large quantities of data, but should rather be conceptual, concentrating on the methodological thinking that will allow the non-specialist reader to understand the information presented. Contributions also offer an outlook on potential future developments in the field.

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

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.

"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.

Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements. Basic statistical concepts, elements of decision theory, and counting statistics, including models of photon-limited data and Poisson approximations, are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT. The final chapter includes illustrative examples of statistical computing, based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks as well as Bayesian decision making and hypothesis testing. Appendices cover probability distributions, elements of set theory, multinomial distribution of single-voxel imaging, and derivations of sampling distribution ratios. C++ code used in the final chapter is also provided. The text can be used as a textbook that provides an introduction to Bayesian statistics and advanced computing in medical imaging for physicists, mathematicians, engineers, and computer scientists. It is also a valuable resource for a wide spectrum of practitioners of nuclear imaging data analysis, including seasoned scientists and researchers who have not been exposed to Bayesian paradigms.

Choice Recommended Title, January 2020 Providing a vital resource in tune with the massive advancements in accelerator technologies that have taken place over the past 50 years, Accelerator Radiation Physics for Personnel and Environmental Protection is a comprehensive reference for accelerator designers, operators, managers, health and safety staff, and governmental regulators. Up-to-date with the latest developments in the field, it allows readers to effectively work together to ensure radiation safety for workers, to protect the environment, and adhere to all applicable standards and regulations. This book will also be of interest to graduate and advanced undergraduate students in physics and engineering who are studying accelerator physics. Features: Explores accelerator radiation physics and the latest results and research in a comprehensive single volume, fulfilling a need in the market for an up-to-date book on this topic Contains problems designed to enhance learning Addresses undergraduates with a background in math and/or science

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

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.