"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.

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

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.

The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

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.

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.

Gamma cameras are traditionally large devices that are situated in nuclear medicine departments, but recent advances in detector design have enabled the production of compact gamma cameras that allow nuclear imaging at the patient bedside and in the operating theatre. Gamma Cameras for Interventional and Intraoperative Imaging is the first book to cover this new area of imaging, and provides a unique insight into the experimental and clinical use of small field of view gamma cameras in hospitals. This book explores advances in the design and operation of compact gamma cameras and conducts a thorough review of current SFOV systems, before exploring the clinical applications of the technology. It is an essential reference for surgeons, operating theatre staff, clinical scientists (medical physicists), technologists, nuclear physicians and radiologists whose patients could benefit from this technology.

Sensor technologies and applications are evolving rapidly driven by the demand for new sensors for monitoring and diagnostic purposes to enable improvements in human health and safety. Simultaneously, sensors are required to consume less power, be autonomous, cost less, and be connected by the Internet of Things. New sensor technologies are being developed to fulfill these needs. This book reviews the latest developments in sensor technology and gives the reader an overview of the state-of-the-art in key areas, such as sensors for diagnostics and monitoring. Features Provides an overview of sensor technologies for monitoring and diagnostics applications. Presents state-of-the-art developments in selected topics for sensors that can be used for monitoring and diagnostics in future healthcare, structural monitoring, and smart environment applications. Features contributions from leading international experts in both industry and academia. Explores application areas that include medical diagnostics and screening, health monitoring, smart textiles, and structural monitoring.

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.

Radiation therapy has developed and advanced dramatically in the last few decades. However, very little has been published or done in the area of biologically optimized treatment planning. Development of Biologically Optimized Radiation Therapy aims to fill and close an important gap in the literature with a well-focused and in-depth content. The book covers the biological, physical and clinical background of advanced biologically based radiation therapy optimization with focus on modern radiation therapy modalities such as electron, photon and light ion therapy. Highly recommended for its strong interdisciplinary profile, the book contains a meritorious compilation of previously unpublished materials in many areas of modern science. Undergraduates, researchers and practitioners such as oncologists, medical physicists and radiation biologists alike should find the book immensely informative and comprehensively thorough.

The only case-based guide to electromyography-back in a fully revised and updated New Edition! This practical resource examines how to approach, diagnose, and manage the most commonly encoun-tered disorders in the EMG laboratory. Based on actual cases, it correlates patient history, physical exam, EMG findings, relevant anatomy, treatment, and follow-up to help readers sharpen their clinical problem-solving skills. New cases have been added, and every case includes the latest advances in knowledge and technique. Features study questions, answers, and clinical discussions of how experts manage cases to help readers work through the problems presented. Summarizes the results of nerve conduction studies and EMG data with standardized tables. Includes more than 200 relevant imaging studies and anatomic figures. Makes information easy to find with a uniform chapter organization. Offers a consistent approach to electromyography based on Dr. Katirji's broad knowledge and clinical experience. 7 new case studies, including Hereditary Neuropathy with Liability to Pressure Palsy, Ischemic Monomelic Neuropathy, and Myotonic Dystrophy. Three new chapters on Nerve Conduction Studies, Needle EMG Examination, and Specialized Procedures. Many new and revised figures that clarify complex information.

For every physician that interprets ECGs, there is great need to understand a vast amount of information regarding the technique. That the basics of the technique have changed little over the last 100 years means that there is a huge amount of subtle detail that must be learnt to enable its effective use as a diagnostic test. The ECG technique is critical for deciding upon further diagnostic procedures and therapeutic interventions (notably coronary angiography, PTCA, stenting, coronary artery bypass grafting, pacemaker insertion, ablation, electroconversion etc). Without attaining the skills to practice the ECG procedure and knowledge of its diagnostic value - skills often overlooked during medical training - physicians will be unlikely to use it to the benefit of their patients.

This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

From first principles to current computer applications, Monte Carlo Calculations in Nuclear Medicine, Second Edition: Applications in Diagnostic Imaging covers the applications of Monte Carlo calculations in nuclear medicine and critically reviews them from a diagnostic perspective. Like the first edition, this book explains the Monte Carlo method and the principles behind SPECT and PET imaging, introduces the reader to some Monte Carlo software currently in use, and gives the reader a detailed idea of some possible applications of Monte Carlo in current research in SPECT and PET. New chapters in this edition cover codes and applications in pre-clinical PET and SPECT. The book explains how Monte Carlo methods and software packages can be applied to evaluate scatter in SPECT and PET imaging, collimation, and image deterioration. A guide for researchers and students developing methods to improve image resolution, it also demonstrates how Monte Carlo techniques can be used to simulate complex imaging systems.

Vulnerable plaque development is the result of a complex series of molecular and cellular events involving inflammation, apoptosis, rupture, and thrombosis. A detailed understanding of the mechanisms underlying the development of high-risk plaques, along with the ability to visualize and diagnose these vulnerable lesions, will lead to the effective management of acute coronary syndromes. High-Risk Atherosclerotic Plaques: Mechanisms, Imaging, Models, and Therapy brings together timely, in-depth reviews by renowned international cardiologists and scientists. Chapters cover the definition, structure, and cellular and molecular mechanisms of high risk plaque development, as well as animal models of vulnerable plaque, plaque imaging, and current and future therapies. Medical experts discuss intravascular ultrasound, optimal coherence tomography, magnetic resonance imaging, and coronary thermography. The final chapter reviews both current and future local and systematic strategies for the therapeutic management of vulnerable plaque. Exploring all aspects of this primary cause of acute coronary syndromes, this informative book updates our knowledge on the detection and treatment of vulnerable plaques. It is a valuable resource that can greatly advance the progress in treatment and prevention.

Radioembolization is a widely used treatment for non-resectable primary and secondary liver cancer. This handbook addresses the radiation biology, physics, nuclear medicine, and imaging for radioembolization using Yttrium-90 (90Y) microspheres, in addition to discussing aspects related to interventional radiology. The contents reflect on and off-label treatment indications, dose-response relationships, treatment-planning, therapy optimization, radiation safety, imaging follow-up and many other facets of this therapy necessary for both novice and advanced users alike.

Understand Quantitative Radiobiology from a Radiation Biophysics Perspective In the field of radiobiology, the linear-quadratic (LQ) equation has become the standard for defining radiation-induced cell killing. Radiotherapy Treatment Planning: Linear-Quadratic Radiobiology describes tumor cell inactivation from a radiation physics perspective and offers appropriate LQ parameters for modeling tumor and normal tissue responses. Explore the Latest Cell Killing Numbers for Defining Iso-Effective Cancer Treatments The book compiles radiation mechanism information from biophysical publications of the past 50 years, addressing how ionizing radiation produces the killing of stem cells in human tumors. It presents several physical and chemical parameters that can modulate the radiation response of clonogenic cells in tumors. The authors describe the use of the LQ model in basic radiation mechanism studies with cells of relatively homogeneous radiation response and then extend the model to the fitting of survival data generated with heterogeneous cell populations (tumors). They briefly discuss how to use the LQ model for predicting tumor (local) control probability (TCP) and normal tissue complication probability (NTCP). The book also examines potential molecular targets related to alpha- and beta-inactivation and gives suggestions for further molecular characterizations of these two independent processes. Develop Efficacious, Patient-Friendly Treatments at Reduced Costs Focusing on quantitative radiobiology in LQ formulation, this book assists medical physicists and radiation oncologists in identifying improved cancer treatments. It also encourages investigators to translate potentially improved radiotherapy schedules based on TCP and NTCP modeling into actual patient benefit.

Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area. It reviews clinical research, presents an overview of the clinical field, and the importance of heart rate variability in diagnosis. The book then discusses the use of particular ECG and HRV algorithms in the context of clinical applications.

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

Neuromuscular imaging has increasingly become an important tool in the detection and diagnosis of inherited and acquired neuromuscular disease. This book is a groundbreaking radiological and neurological overview of current methods and applications of imaging-including aspects of neuroimaging and musculoskeletal imaging-in patients with inherited, metabolic, and inflammatory muscle diseases. Imaging features are discussed in the context of clincial presentation, histopathology, therapeutic options and differential diagnosis. World leading expert contributors give a comprehensive and didactic review of neuromuscular disorders and available imaging modalities, each illustrated with numerous figures. Topics discussed include: -Modalities such as ultrasound, CT and MRI -Muscle anatomy and physiology -Clinical applications in hereditary and acquired myopathies -Clinical applications in motor neuron disorders and peripheral nerve imaging

Research into the 3D Physiological Human is a very active field focusing on the creation of patient-specific computer models for personalised healthcare. Reporting on how these models can simulate and provide a better understanding of human physiology and pathology, this book also looks at how the evolution and the improvement of technological devices such as scanners, medical instruments, and computer power have helped in our understanding of the human body and its functionalities.

The book contains contributions from leading researchers from a variety of disciplines (including computer graphics, biomechanics, knowledge representation, human-machine interfaces etc) associated with medical imaging, simulation, computer-assisted surgery and 3D semantics.

Divided into three parts: anatomical and physiological modelling, physically-based simulation, and medical analysis and knowledge management, this book provides a clear picture of the most recent advances in this increasingly important area.

This authoritative reference reviews current and emerging molecular imaging modalities that are expected to impact the detection and treatment of lung diseases in the near future-including applications in gene expression and inflammation imaging; the imaging of pulmonary cytokine regulation; the molecular imaging of angiogenesis, the airways, and lung cancer; and the imaging of cellular death and cell trafficking.

Advances have been made in improved signal and image interpolation that derive a unified framework, thus achieving improvement of the approximation properties of the interpolation function regardless of its dimensionality or degree. Improved Signal and Image Interpolation in Biomedical Applications: The Case of Magnetic Resonance Imaging (MRI) presents a novel approach for the improvement of the approximation characteristics of interpolation functions. A unique and original resource, this book approaches both the theory and methodology absent from most publications of its kind, a valuable inclusion for those interested in exploring the innovative approach that this reference proposes.

Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provides the first comprehensive coverage of this emerging field. This monograph details the theory, technology, and practical implementations in a variety of medical settings. International experts thoroughly explain why image registration is important, describe its applications in a nonmathematical way, and include rigorous analysis for those who plan to implement algorithms themselves. It is accessible and informative to those new to the field, yet it provides in-depth treatment for the expert. With its practical examples, extensive illustrations, and comprehensible approach, Medical Image Registration is a must have guide for medical physicists, clinicians, and researchers.