This book provides a first comprehensive summary of the basic principles, instrumentation, methods, and clinical applications of three-dimensional dosimetry in modern radiation therapy treatment. The presentation reflects the major growth in the field as a result of the widespread use of more sophisticated radiotherapy approaches such as intensity-modulated radiation therapy and proton therapy, which require new 3D dosimetric techniques to determine very accurately the dose distribution. It is intended as an essential guide for those involved in the design and implementation of new treatment technology and its application in advanced radiation therapy, and will enable these readers to select the most suitable equipment and methods for their application. Chapters include numerical data, examples, and case studies.

Brachytherapy is continuously advancing. Years of accumulated experience have led to clinical evidence of its benefit in numerous clinical sites such as gynecological, prostate, breast, rectum, ocular, and many other cancers. Brachytherapy continues to expand in its scope of practice and complexity, driven by strong academic and commercial research, by advances in competing modalities, and due to the diversity in the political and economic landscape. It is a true challenge for practicing professionals and students to readily grasp the overarching trends of the field, especially of those technologies and innovative practices that are not yet established but are certainly on the rise. Addressing this challenge, Emerging Technologies in Brachytherapy presents a comprehensive collection of chapters on the latest trending/emerging technologies and expert opinions. It is divided into five broad sections: Section I: Physics of Brachytherapy Section II: Imaging for Brachytherapy Guidance Section III: Brachytherapy Suites Section IV: Is Brachytherapy a Competitive Modality? Section V: Vision 20/20: Industry Perspective Each section has a carefully selected collection of chapters, which covers the spectrum of topics in comprehensive detail. By drawing on recognized experts and key opinion leaders from academia and commercial sectors worldwide (100+ contributors), Emerging Technologies in Brachytherapy provides readers with a wealth of relevant information needed to comprehend the rapidly advancing technologies and trends of today and the prospects for the future.

Brachytherapy has become the modality of choice for several cancer localizations, minimizing the possibility of unacceptable risks for healthy tissues and providing a more cost-effective and convenient treatment for patients. Written by leading experts in the physics, development, and implementation of brachytherapy, The Physics of Modern Brachytherapy for Oncology discusses the subject in detail, covering its definition, the basic physics of radiation interaction with matter, radionuclides, sources and source production, calibration and dosimetry protocols as well as experimental dosimetry methods appropriate for practical use. Logically organized, the book begins with basic information, including quantities and units, followed by fundamental atomic and nuclear physics. It also provides the historical background of brachytherapy physics. The next several chapters discuss the radionuclides used in brachytherapy, reflecting upon past (radium), present (iridium or cobalt), and future (ytterbium) methods. The book proceeds to examine source calibration and dosimetry protocols for dose rate calculation while the final chapters explore more recent processes, including Monte Carlo-aided, experimental, and gel dosimetry. The appendices provide useful tables of isotopes, unit conversions and physical constants, brachytherapy sources, TG-43 and TG-43 U1 data tables, and dose rate tables. Detailing the physics behind brachytherapy treatment, The Physics of Modern Brachytherapy for Oncology is essential reading for researchers, practicing radiation oncologists, and medical physicists who want to keep abreast of the developments in this changing field as well as for postgraduate students in medical physics.

Dosimetry refers to the calculation and assessment of the radiation dose received by the human body. The proposed book will place emphasis on the existence of physical and biophysical dosimetry. It will be discussed for the proper description and evaluation of the signal at the power generation system. It will cover in detail 10 different parameters of EMF (electromagnetism) exposure such as amplitude, frequency, vector, time of exposure, orientation, etc. In most published papers, these parameters are not well defined.

Regularization becomes an integral part of the reconstruction process in accelerated parallel magnetic resonance imaging (pMRI) due to the need for utilizing the most discriminative information in the form of parsimonious models to generate high quality images with reduced noise and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods, Regularized image reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance between two specific types of error signals to either improve the accuracy in estimation of missing samples, or speed up the estimation process. The first type corresponds to the modeling error between acquired and their estimated values. The second type arises due to the perturbation of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features: Provides details for optimizing regularization parameters in each type of reconstruction. Presents comparison of regularization approaches for each type of pMRI reconstruction. Includes discussion of case studies using clinically acquired data. MATLAB codes are provided for each reconstruction type. Contains method-wise description of adapting regularization to optimize speed and accuracy. This book serves as a reference material for researchers and students involved in development of pMRI reconstruction methods. Industry practitioners concerned with how to apply regularization in pMRI reconstruction will find this book most useful.

The unprecedented potential of nanotechnology for early detection, diagnosis, and personalized treatment of diseases has found application in every biomedical imaging modality. However, with the increasing concern about the ethical and toxicity issues associated with some "nanoplatforms," biomedical researchers are in pursuit of safer, more precise, and effective ways to practice nanomedicine. Designed and written to be accessible to anyone, with or without previous knowledge of nanotechnology, Nanomedicine: A Soft Matter Perspective takes a balanced look at potential pitfalls and challenges faced by the field and how they can be translated into nonomedicine technologies. A multidisciplinary and fast-evolving research area, nanomedicine presents new clinically relevant promises grounded in the disciplines of molecular biology, genomics, chemistry, and nanotechnology. Nanoparticle-based theranostic approaches have emerged as an interdisciplinary area, which shows promise to understand the components, processes, dynamics, and therapies of a disease at a molecular level. This book discusses some of the unique opportunities presented by biomaterials at the nanoscale. The book provides a broad introduction to the areas of nanomedicinal application with an emphasis on imaging and therapeutics. It covers "soft" nanoscopic objects with prerequisite features for different imaging modalities with a potential for image-guided drug delivery. The book also offers a general introduction to the various drug delivery systems and their opportunities from chemistry, materials, biology, and nanomedical standpoints. The chapters provide a comprehensive introduction to the field and the subfield, with a deeper discussion on the individual modalities for molecular imaging and their present status of clinical translation.

Cardiovascular and Neurovascular Imaging: Physics and Technology explains the underlying physical and technical principles behind a range of cardiovascular and neurovascular imaging modalities, including radiography, nuclear medicine, ultrasound, and magnetic resonance imaging (MRI). Examining this interdisciplinary branch of medical imaging from academic, clinical, and industrial perspectives, this comprehensive book: Covers each major imaging modality as well as special applications, time-resolved techniques, and image-guided therapies Discusses image quality and accuracy, radiation safety and dosimetry, and image formation and analysis Explores current and future trends in vascular imaging procedures and technologies Featuring chapters authored by field experts, Cardiovascular and Neurovascular Imaging: Physics and Technology combines the latest information on the physics and technology of cardiovascular and neurovascular imaging under one cover, providing students, professionals, and researchers with a single, state-of-the-art reference.

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 popular text provides a comprehensive, yet accessible, introduction to the physics and technology of medical ultrasound, with high quality ultrasound images and diagrams throughout. Covering all aspects of the field at a level that meetings the requirements of accredited sonography courses, it is ideal for both trainee and qualified healthcare professionals practising ultrasound in a clinical setting. Building on the content of previous editions, this third edition provides the latest guidance relating to ultrasound technology, quality assurance and safety and discusses the latest techniques.

This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.

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

Read an exclusive interview with Dr. Jerry Battista here. A critical element of radiation treatment planning for cancer is the accurate prediction and delivery of a tailored radiation dose distribution inside the patient. Megavoltage x-ray beams are aimed at the tumour, while collateral damage to nearby healthy tissue and organs is minimized. The key to optimal treatment therefore lies in adopting a trustworthy three-dimensional (3D) dose computation algorithm, which simulates the passage of both primary and secondary radiation throughout the exposed tissue. Edited by an award-winning university educator and pioneer in the field of voxel-based radiation dose computation, this book explores the physics and mathematics that underlie algorithms encountered in contemporary radiation oncology. It is an invaluable reference for clinical physicists who commission, develop, or test treatment planning software. This book also covers a core topic in the syllabus for educating graduate students and residents entering the field of clinical physics. This book starts with a historical perspective gradually building up to the three most important algorithms used for today's clinical applications. These algorithms can solve the same general radiation transport problem from three vantages: firstly, applying convolution-superposition principles (i.e. Green's method); secondly, the stochastic simulation of radiation particle interactions with tissue atoms (i.e. the Monte Carlo method); and thirdly, the deterministic solution of the fundamental equations for radiation fields of x-rays and their secondary particles (i.e. the Boltzmann method). It contains clear, original illustrations of key concepts and quantities thoughout, supplemented by metaphors and analogies to facilitate comprehension and retention of knowledge. Features: Edited by an authority in the field, enhanced with chapter contributions from physicists with clinical experience in the fields of computational dosimetry and dose optimization Contains examples of test phantom results and clinical cases, illustrating pitfalls to avoid in clinical applications to radiation oncology Introduces four-dimensional (4D) dose computation, on-line dose reconstruction, and dose accumulation that accounts for tissue displacements and motion throughout a course of radiation therapy

Bone is a complex biological material that consists of both an inorganic and organic phase, which undergoes continuous dynamic biological processes within the body. This complex structure and the need to acquire accurate data have resulted in a wide variety of methods applied in the physical analysis of bone in vivo and in vitro. Each method has its own strengths and applications depending on the information sought by the clinician or researcher. The Physical Measurement of Bone provides a detailed description of all the major methods of bone analysis, including brief comments on clinical evaluation. The physics of each method are introduced as well as a summary of practical procedures. The book is essential reading for practicing medical physicists and technicians who need to know about the many methods of bone analysis open to them, and, more importantly, the wide coverage provides a good introductory framework for students of medical physics and biomedical engineering.

Use the GPU Successfully in Your Radiotherapy Practice With its high processing power, cost-effectiveness, and easy deployment, access, and maintenance, the graphics processing unit (GPU) has increasingly been used to tackle problems in the medical physics field, ranging from computed tomography reconstruction to Monte Carlo radiation transport simulation. Graphics Processing Unit-Based High Performance Computing in Radiation Therapy collects state-of-the-art research on GPU computing and its applications to medical physics problems in radiation therapy. Tackle Problems in Medical Imaging and Radiotherapy The book first offers an introduction to the GPU technology and its current applications in radiotherapy. Most of the remaining chapters discuss a specific application of a GPU in a key radiotherapy problem. These chapters summarize advances and present technical details and insightful discussions on the use of GPU in addressing the problems. The book also examines two real systems developed with GPU as a core component to accomplish important clinical tasks in modern radiotherapy. Translate Research Developments to Clinical Practice Written by a team of international experts in radiation oncology, biomedical imaging, computing, and physics, this book gets clinical and research physicists, graduate students, and other scientists up to date on the latest in GPU computing for radiotherapy. It encourages you to bring this novel technology to routine clinical radiotherapy practice.

When Professor J.E. Roberts was first employed at the then Cancer Hospital (Free) in 1932, the words medical and physics were rarely joined together. Meandering in Medical Physics presents an account of Professor Roberts's experiences in professional life, both in the United Kingdom and overseas. It documents the early history of medical physics and provides insight into the very basic equipment and working conditions well known to hospital physicists not long ago. Enhanced by archived photographs from the British Institute of Radiology, the book will entertain, enlighten, and educate.

This timely overview of dose, benefit, and risk in medical imaging explains to readers how to apply this information for informed decision-making that improves patient outcomes. The chapters cover patient and physician perspectives, referral guidelines, appropriateness criteria, and quantifying medical imaging benefits. The authors have included essential discussion about radiologic physics in medical imaging, fundamentals of dose and image quality, risk assessment, and techniques for optimization and dose reduction. The book highlights practical implementation aspects with useful case studies and checklists for treatment planning. Clinicians, students, residents, and professionals in medical physics, biomedical engineering, radiology, oncology, and allied disciplines will find this book an essential resource with the following key features: Discusses risk, benefit, dose optimization, safety, regulation, radiological protection, and shared & informed decision-making. Covers regulatory oversight by government agencies, manufacturers, and societies. Highlights best practices for improving patient safety and outcomes. Gives guidelines on doses associated with specific procedures.

Achieving Quality in Brachytherapy addresses the main issues that often prevent correct delivery of brachytherapy treatment. The book explains how to set up a functional quality assurance program in brachytherapy and covers all the steps needed to undertake particular treatment plans, from the initial planning required to the detailed specification. It highlights the importance of planning as a means of controlling and dealing with errors during the treatment process and advises on what to check and how to check during treatment to ensure effective quality assurance. This comprehensive reference is ideal for professionals working in brachytherapy, physics, and radiation oncology, and serves as an introduction for trainees with an undergraduate degree in medical physics or clinical radiation oncology.

The first section of this volume corresponds to courses on the cytoskeleton, its various structures and its dynamics, especially during the cell cycle. The reductionist approach is favoured in this field and considerable effort is spent on finding out how these structures are built up from their component molecules, how they grow or decrease in size, how they interact with each other and with other cell components. The second section describes the endo membrane system of a eukaryotic cell and the regulated protein traffic that flows through it. Part III deals with the onset of higher levels of organization. Topics covered include the development of the central nervous system, the role of time in biology and theoretical models to describe biochemical and cellular oscillations. The volume concludes with a reflection on physics and biology and the author shares some of his thoughts on the different ways in which physicists and biologists tackle problems in their respective fields.

Linear Accelerators for Radiation Therapy, Second Edition focuses on the fundamentals of accelerator systems, explaining the underlying physics and the different features of these systems. This edition includes expanded sections on the treatment head, on x-ray production via multileaf and dynamic collimation for the production of wedged and other intensity modulated beams, on electron scattering systems, and on dosimetry. With high-quality illustrations and practical examples throughout, it contains a detailed description of electron beam optics and linear accelerator components. The final chapter explains how to use other equipment, such as scanners and simulators, in conjunction with linear accelerators for optimum treatment of cancers.

With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.

Building on the success of the first edition of this book, the winner of the 2004 British Medical Association Radiology Medical Book Competition, Quantitative MRI of the Brain: Principles of Physical Measurement gives a unique view on how to use an MRI machine in a new way. Used as a scientific instrument it can make measurements of a myriad of physical and biological quantities in the human brain and body. For each small tissue voxel, non-invasive information monitors how tissue changes with disease and responds to treatment. The book opens with a detailed exposition of the principles of good practice in quantification, including fundamental concepts, quality assurance, MR data collection and analysis and improved study statistical power through minimised instrumental variation. There follow chapters on 14 specific groups of quantities: proton density, T1, T2, T2*, diffusion, advanced diffusion, magnetisation transfer, CEST, 1H and multi-nuclear spectroscopy, DCE-MRI, quantitative fMRI, arterial spin-labelling and image analysis, and finally a chapter on the future of quantification. The physical principles behind each quantity are stated, followed by its biological significance. Practical techniques for measurement are given, along with pitfalls and examples of clinical applications. This second edition of this indispensable 'how to' manual of quantitative MR shows the MRI physicist and research clinician how to implement these techniques on an MRI scanner to understand more about the biological processes in the patient and physiological changes in healthy controls. Although focussed on the brain, most techniques are applicable to characterising tissue in the whole body. This book is essential reading for anyone who wants to use the gamut of modern quantitative MRI methods to measure the effects of disease, its progression, and its response to treatment. Features: The first edition was awarded the book prize for Radiology by the British Medical Association in 2004 Written by an authority in the field: Professor Tofts has an international reputation for quantification in MRI Gives specific 'how to' information for implementation of MRI measurement sequence techniques

The discipline of rehabilitation engineering draws on a wide range of specialist knowledge, from the biomedical sciences to materials technology. Rehabilitation Engineering Applied to Mobility and Manipulation provides broad background and motivational material to ease readers' introduction to the subject. The book begins with a wide-ranging yet concise introduction to the legislative, technological, testing, and design basis of rehabilitation engineering, followed by the fundamentals of design and materials and a full account of the biomechanics of rehabilitation. Major sections of the book are devoted to various aspects of mobility, including detailed discussion of wheelchair design. Valuable additional material deals with seating, prosthetic devices, robotics, and the often-neglected subject of recreational devices and vehicles. More than a thousand references to the research and review literature put readers in touch with the leading edge of a rapidly growing field.

The Physics of Conformal Radiotherapy: Advances in Technology provides a thorough overview of conformal radiotherapy and biological modeling, focusing on the underlying physics and methodology of three-dimensional techniques in radiation therapy. This carefully written, authoritative account evaluates three-dimensional treatment planning, optimization, photon multileaf collimation, proton therapy, transit dosimetry, intensity-modulation techniques, and biological modeling. It is an invaluable teaching guide and reference for all medical physicists and radiation oncologists/therapists that use conformal radiotherapy.

"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.

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. The contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning approaches. The book presents numerous techniques, algorithms, and models. It describes neural networks, evolutionary optimization techniques, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a reinforcement learning-based multistage image segmentation algorithm, a machine learning approach, Monte Carlo simulations, and intelligent, deformable models. The contributors discuss how these techniques are used to classify wound images, extract the boundaries of skin lesions, analyze prostate cancer, handle the inherent uncertainties in mammographic images, and encapsulate the natural intersubject anatomical variance in medical images. They also examine prostate segmentation in transrectal ultrasound images, automatic segmentation and diagnosis of bone scintigraphy, 3-D medical image segmentation, and the reconstruction of SPECT and PET tomographic images.