Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

The new edition will discuss recent advances in computer modeling, including how fields generated outside the body are distributed inside and how various frequencies may interact differently with natural biological or biochemical cycles. It covers the basic biological, medical, physical, and electrical engineering principles and experimental results concerning how electric and magnetic fields affect biological systems-both as potential hazards to health and as potential tools for medical treatment and scientific research. It also briefly includes material on the relationship between the science and the regulatory processes concerning human exposure to the fields.

This easy-to-understand pocketbook in the highly respected Clark’s stable of imaging texts is an invaluable tool and training aid, providing essential information for mammographic positioning, technique and interpretation for mammography practitioners at all levels. Adopting a systematic and structured approach facilitating rapid reference in the clinical setting, the book covers general principles and all routine mammographic projections, including additional and adapted projections covered in a separate section, and is highly illustrated with clear explanatory line diagrams and imaging photographs. Clark’s Essential Guide to Mammography is ideal as an educational tool for trainee mammographers, trainee assistant and associate apprenticeship mammographers, mammography training teams and universities delivering mammography education and a convenient clinical guide for practising mammographers, including assistant and associate apprenticeship mammographers.

Rewind Your Biology and Live Like a 20-Year-Old! Edit Your Genes to Live Disease-Free! Find a Parking Space with Your Internet-Connected Brain! Advances in longevity, genetics, nanotech, and robotics will make all this possible! This is not science fiction. This is your future. Right now, pioneering scientists and technologists are transforming what it means to be human by overcoming biological limits that have existed since our ancestors swung out of the trees...and into the suburbs. With incredible inspiration and perseverance, these visionaries are solving deep problems of human health and longevity-and their progress is accelerating. Super You takes you inside their labs, companies, and minds...to show how you can reap the benefits of a stronger, longer, better, life. You'll learn how to start hacking your life today, to become more super, every day. Discover what's possible when yesterday's human limits are gone! Learn how evolution became obsolete-and why it's time to start hacking yourself Save your life with whirring "jet engine" hearts, printed organs, and other medical miracles Rewire and turbo-boost your ape brain Become a mega-mind by connecting your brain directly to the Internet to use Google's synthetic neocortex Become superhuman with cyborg technology Design and mold your looks Genetically engineer your baby to be a tennis star (and other true stories) Prepare for the political and religious backlash against the future Discover how scientists will make death obsolete by treating it like a curable disease-and how to live until they do

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

Bioelectronics is emerging as a new area of research where electronics can selectively detect, record, and monitor physiological signals. This is a rapidly expanding area of medical research, that relies heavily on multidisciplinary technology development and cutting-edge research in chemical, biological, engineering, and physical science. This book provides extensive information on the (i) fundamental concepts of bioelectronics, (ii) materials for the developments of bioelectronics such as implantable electronics, self-powered devices, bioelectronic sensors, flexible bioelectronics, etc, and (iii) an overview of the trends and gathering of the latest bioelectronic progress. This book will broaden our knowledge about newer technologies and processes used in bioelectronics.

Biomedical Applications of Magnetic Particles discusses fundamental magnetic nanoparticle physics and chemistry and explores important biomedical applications and future challenges. The first section presents the fundamentals of the field by explaining the theory of magnetism, describing techniques to synthesize magnetic particles, detailing methods to characterize magnetic particles, and quantitatively describing the applied magnetic forces, torques, and the resultant particle motions. The second section describes the wide range of biomedical applications, including chemical sensors, cellular actuators, drug delivery, magnetic hyperthermia, magnetic resonance imaging contrast enhancement, and toxicity. Additional key features include: Covers both introduction to physics and characterization of magnetic nanoparticles and the state of the art in biomedical applications Authoritative reference for scientists and engineers for all new or old to the field Describes how the size of magnetic nanoparticles affects their magnetic properties, colloidal properties, and biological properties. Written by a team of internationally respected experts, this book provides an up-to-date authoritative reference for scientists and engineers.

- Presents the reasons behind the decisions taken by automated algorithms - Frames eXplainable AI as a bridge between computer scientists and physicians - Emphasizes transparency in data analysis within healthcare - Covers computer vision and deep learning in tandem - Creates space to discuss human-AI relationships in future healthcare

This book provides a well-focused and comprehensive overview of the history and background of nanocarbon based materials like carbon nanotubes, graphene, and fullerenes. It discusses their structure, synthesis, properties and modifications for making various advanced materials. The authors focus on their use in the health care sector as therapeutic agents in pharmacy and medicine, in diagnosis and analysis in pharmacy and medicine, as biosensors, gene and drug delivery, cancer therapy, biosensing and bioimaging, go-based antibacterial materials, and as a promising antioxidant and GO-based scaffold for cell culture. The authors also showcase the application potential of advanced nanocarbon based materials by examining the biomedical applications developed via novel advanced designing, in which the technologies will be adopted and the end users can be benefited. Finally the authors discuss the increasing research on carbon based materials, along with the challenges they are currently facing along with possible solutions that may result in the availability of the accessible, reliable and cost-efficient technology. The potential user for this book may be medical practitioners, biologists, pharmacists, and chemists.This book covers in-depth knowledge of processing parameters for making nanocarbon based material for high end applications in the biomedical and pharmaceutical fields.

Discusses advancements in the field of Human Machine Interface. Provides practical knowledge in biomedical signal processing, AI and ML using MATLAB. Introduces biomedical signals for HMI applications. Discusses Augmented Reality/Virtual reality based HMI. Explores advancements in nanotechnology, user interface design and interactive systems.

Clearly presents the state of the art and future trends in the research of the biodegradable polymers in the context of circular economy Covers entire value chain and life cycle of biopolymers, considering different types of polymers Clarifies the life safety of (bio)degradable polymeric materials Presents novel opportunities and ideas for developing or improving technologies Determines the course of degradation during prediction study

Directs the attention to the smart digital healthcare system in this COVID-19 pandemic. Simulates novel investigations and how they will be beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. Explains some interesting and diverse types of challenges and data-driven healthcare applications.

This book provides a well-focused and comprehensive overview of novel technologies involved in advanced microfluidics based diagnosis via various types of prognostic and diagnostic biomarkers. This authors examine microfluidics based diagnosis in the biomedical field as an upcoming field with extensive applications. It provides a unique approach and comprehensive technology overview for diagnosis management towards early stages of various bioanalytes via cancer diagnostics diabetes, alzheimer disease, toxicity in food products, brain and retinal diseases, cardiovascular diseases, and bacterial infections etc. Thus, this book would encompass a combinatorial approach of medical science, engineering and biomedical technology. The authors provide a well-focused and comprehensive overview of novel technologies involved in advanced microfluidics based diagnosis via various types of prognostic and diagnostic biomarkers. Moreover, this book contains detailed description on the diagnosis of novel techniques. This book would serve as a guide for students, scientists, researchers, and microfluidics based point of care technologies via smart diagnostics and to plan future research in this valuable field.

Nuclear Medicine and Molecular Imaging offers complete coverage of this exciting and key area of biomedicine, seamlessly fusing the science behind nuclear medicine with the clinical aspects of diagnostic imaging. Beginning with sections on the physics related to nuclear medicine, radiation biology/safety, and instrumentation/quality control, it then covers radiochemistry and the development of new radionuclide therapy/tracers, and basic techniques such as positron emission tomography (PET) and single photon emission computed tomography (SPECT). The focus then shifts to the clinical aspects, with sections on clinical/preclinical nuclear imaging (structured via organ system such as gastrointestinal, cardiovascular, pulmonary, etc.), as well as other in vivo molecular imaging techniques such as optical imaging, digital image analysis (radiomics), as well as the increasing use of artificial intelligence (AI) in diagnostics. No other publication provides such a complete overview of the field, with most choosing to focus either on physics or imaging. In most cases, preclinical/experimental imaging is treated separately from clinical imaging. Nuclear Medicine and Molecular Imaging brings it all together into a complete, 4-volume, foundational resource for researchers and medical professionals specializing in this exciting area.

This book covers all various research areas using nano systems in the field of bio nanotechnology to fight against cancer for diagnosis and therapy including drug delivery from fundamentals to advanced levels. Book has designed such a way that, anyone who is interested to understand, learn or start his/her research career in the field of bio nanotechnology in cancer, can use as a gateway to enter in to the field as well as a serious advanced researcher can use as the reference text book. Due to multidisciplinary nature of the subject, the book has written so that advanced undergraduate, graduate, postgraduate and researchers from different fields can follow and understand the subject very easily. Plenty of figures and art works are used to convey the idea visibly and effortlessly

Offers an Extensive Discussion on High Frequency Ultrasound Based on a course taught and developed by a foremost expert in diagnostic ultrasound technology, Diagnostic Ultrasound: Imaging and Blood Flow Measurements, Second Edition covers cutting-edge developments, along with the fundamental physics, instrumentation, system architecture, clinical applications, and biological effects of ultrasound. This text addresses the technical side of diagnostic ultrasound and begins with an overview of the field of ultrasonic imaging and its role in diagnostic medicine relative to other imaging modalities. The author describes the fundamental physics involved in ultrasonic transducers, as well as in conventional imaging approaches and Doppler measurements, including contrast imaging and 4D imaging. He reviews the current status and standards on ultrasound bioeffect and discusses methods that have been used to measure ultrasonic properties of tissues. He also provides a list of relevant references and further reading materials at the end of each chapter. New in the Second Edition: Details the latest advances in ultrasound technology related to biomedical applications, including elastrography, portable scanners, ultrasound molecular imaging, preclinical high frequency imaging, 2D array, and 4D imaging techniques Updates and expands each chapter Adds a new chapter on new developments such as elastography and miniature scanners Includes new case studies and examples throughout the book Diagnostic Ultrasound: Imaging and Blood Flow Measurements, Second Edition covers recent advances in ultrasound technology related to biomedical applications. Intended for senior- to graduate-level coursework in ultrasonic imaging, this text also serves practicing physicists, engineers, clinicians, and sonographers.

Autonomous Positioning of Piezoactuated Mechanism for Biological Cell Puncture gives a systematic and almost selfcontained description of the many facets of advanced design, optimization, modeling, system identification and advanced control techniques for positioning of cell puncture mechanism with piezoelectric actuator in micro/nanorobotics systems. To achieve biomedical applications, reliability design, modeling, and precision control are vitally important for developing engineering systems. With the advances in mechanical design, dynamic modeling, system identification, and control techniques, exploiting them for the benefit of reliability design, precision control, and quick actuation of micro/nanomanipulation systems to expand the robot's applications at the micro and nanoscales, especially for biomedical applications. This book unifies existing and emerging techniques concerning advanced design, modeling and advanced control methodologies in micropuncture of biological cells using piezoelectric actuator with their practical biomedical applications. The book is an essential resource for researchers within robotics, mechatronics, biomedical engineering, and automatic control society, including both academic and industrial parts. KEY FEATURES * Provides a series of latest results in, including but not limited to, design, modeling, and control of micro/nanomanipulation systems utilizing piezoelectric actuator * Gives recent advances of theory, technological aspects, and applications of advanced modeling, control, and actuation methodologies in cell engineering applications * Presents simulation and experimental results to reflect the micro/nano manipulation practice, and also validate the performances of the developed design, analysis, and synthesis approaches

Provides strong and accessible theoretical bases to swarm intelligence algorithms, from particle optimization to bioinspired and meta-heuristic algorithms Presents emerging meta-heuristic algorithms and applications Provides overviews on Python and R based computing libraries for swarm intelligence and meta-heuristic algorithms Presenting real-world applications, especially on Industry, Medicine and Biology.

Despite major advances in healthcare over the past century, the successful treatment of cancer has remained a significant challenge, and cancers are the second leading cause of death worldwide behind cardiovascular disease. Early detection and survival are important issues to control cancer. The development of quantitative methods and computer technology has facilitated the formation of new models in medical and biological sciences. The application of mathematical modelling in solving many real-world problems in medicine and biology has yielded fruitful results. In spite of advancements in instrumentations technology and biomedical equipment, it is not always possible to perform experiments in medicine and biology for various reasons. Thus, mathematical modelling and simulation are viewed as viable alternatives in such situations, and are discussed in this book. The conventional diagnostic techniques of cancer are not always effective as they rely on the physical and morphological appearance of the tumour. Early stage prediction and diagnosis is very difficult with conventional techniques. It is well known that cancers are involved in genome level changes. As of now, the prognosis of various types of cancer depends upon findings related to the data generated through different experiments. Several machine learning techniques exist in analysing the data of expressed genes; however, the recent results related with deep learning algorithms are more accurate and accommodative, as they are effective in selecting and classifying informative genes. This book explores the probabilistic computational deep learning model for cancer classification and prediction.

This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data pre-processing including scaling, correction, trimming, normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative disorders; neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis Explores data pre-processing techniques involved in diagnosis Include real-time case studies and examples This book is aimed at graduate students and researchers in biomedical imaging and machine learning.

Most of the real-life signals are non-stationary in nature. The examples of such signals include biomedical signals, communication signals, speech, earthquake signals, vibration signals, etc. Time-frequency analysis plays an important role for extracting the meaningful information from these signals. The book presents time-frequency analysis methods together with their various applications. The basic concepts of signals and different ways of representing signals have been provided. The various time-frequency analysis techniques namely, short-time Fourier transform, wavelet transform, quadratic time-frequency transforms, advanced wavelet transforms, and adaptive time-frequency transforms have been explained. The fundamentals related to these methods are included. The various examples have been included in the book to explain the presented concepts effectively. The recently developed time-frequency analysis techniques such as, Fourier-Bessel series expansion-based methods, synchrosqueezed wavelet transform, tunable-Q wavelet transform, iterative eigenvalue decomposition of Hankel matrix, variational mode decomposition, Fourier decomposition method, etc. have been explained in the book. The numerous applications of time-frequency analysis techniques in various research areas have been demonstrated. This book covers basic concepts of signals, time-frequency analysis, and various conventional and advanced time-frequency analysis methods along with their applications. The set of problems included in the book will be helpful to gain an expertise in time-frequency analysis. The material presented in this book will be useful for students, academicians, and researchers to understand the fundamentals and applications related to time-frequency analysis.

As medical devices become even more intricate, concerns about efficacy, safety, and reliability continue to be raised. Users and patients both want the device to operate as specified, perform in a safe manner, and continue to perform over a long period of time without failure. Following in the footsteps of the bestselling second edition, Reliable Design of Medical Devices, Third Edition shows you how to improve reliability in the design of advanced medical devices. Reliability engineering is an integral part of the product development process and of problem-solving activities related to manufacturing and field failures. Mirroring the typical product development process, the book is organized into seven parts. After an introduction to the basics of reliability engineering and failures, it takes you through the concept, feasibility, design, verification and validation, design transfer and manufacturing, and field activity phases. Topics covered include Six Sigma for design, human factors, safety and risk analysis, and new techniques such as accelerated life testing (ALT) and highly accelerated life testing (HALT). What's New in This Edition Updates throughout, reflecting changes in the field An updated software development process Updated hardware test procedures A new layout that follows the product development process A list of deliverables needed at the end of each development phase Incorporating reliability engineering as a fundamental design philosophy, this book shares valuable insight from the author's more than 35 years of experience. A practical guide, it helps you develop a more effective reliability engineering program-contributing to increased profitability, more satisfied customers, and less risk of liability.

Features * The first collective book combining accumulated knowledge and experience in the field of diabetes research using biophotonics. * Contributions from leading experts in the field. * Combines the theoretical base of the described methods and approaches, as well as providing valuable practical guidance and the latest research from experimental studies.

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: * Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. * Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. * Presents the application of evolutionary computations for fractal visualization of sequence data. * Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. * Examines the roles of efficient computational techniques in biology.

Combination products are therapeutic and diagnostic products that combine drugs, devices, and/ or biological products. According to the US Food and Drug Administration (FDA), “a combination product is one composed of any combination of a drug and a device; a biological product and a device; a drug and a biological product; or a drug, device and a biological product.” Examples include prefilled syringes, pen injectors, autoinjectors, inhalers, transdermal patches, drug-eluting stents, and kits containing drug administration devices co-packaged with drugs and/or biological products. This handbook provides the most up-to-date information on the development of combination products, from the technology involved to successful delivery to market. The authors present important and up-to-the-minute pre- and post-market reviews of combination product regulations, guidance, considerations and best practices. This handbook: • Brings clarity of understanding for combination products guidance and regulations • Reviews the current state-of-the-art considerations and best practices spanning the combination product lifecycle, pre-market through post-market • Reviews medical product classification and assignment issues faced by global regulatory authorities and industry The editor is a recognized international Combination Products and Medical Device expert with over 35 years of industry experience and has an outstanding team of contributors. Endorsed by AAMI – Association for the Advancement of Medical Instrumentation.