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Mary Alice Statkiewicz Sherer: Radiation
Safety and Radiobiology In Medical Imag

Radiation Safety and Radiobiology In Medical Imaging

Explainable AI XAI for Engineering Applications

The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems.

Medical Data Analysis and Processing using Explainable Artificial Intelligence

Sectional Anatomy for Imaging Professionals

Craig's Essentials of Sonography and Patient Care

Diagnostic Imaging

Diagnostic Imaging: Gynecology

Advances in Age-Related Macular Degeneration provides ophthalmologists and eye researchers an integrated approach to age-related macular degeneration, a leading cause of vision loss in aged people. In this book, international leading experts summarize the most recent findings of new imaging devices' studies in AMD and highlight potential benefits and adaptations of new technologies. The book begins with the two core components essential for proper interpretation of imaging studies: relevant histologic features in AMD and basic principles of different imaging technologies. Sections then relate imaging features from the clinic with histological findings and showcase up-to-date information on retina in AMD and normal aging.The book also includes the basic science behind AMD, exploring genetics, animal models and hot topics such as OCTA imaging and the application of artificial intelligence in AMD. The integrated and translational approach of this book makes this an essential reference for researchers and clinicians in the field.

Advances in Age-Related Macular Degeneration

Reinforce your understanding of Radiography Essentials for Limited Scope, Seventh Edition! With chapters corresponding to the chapters in the textbook, this practical workbook helps you review and apply the concepts and procedures required for limited radiography practice. Exercises include multiple-choice, fill-in-the-blank, and matching questions, as well as labeling exercises for anatomy diagrams and radiographic images. Mock exams help you practice for state licensure examinations. Written by the textbook's authors, this study tool prepares you for coursework and ARRT exams, and for practice as a Limited X-Ray Machine Operator. This is the only workbook of its kind on the market!NEW! Updated content in the workbook reflects current practice and corresponds to material in the textbookNEW! Expanded exercises in all chapters reinforce your understanding of the content, and include additional podiatry, chiropractic, and bone densitometry exercisesWide variety of exercises includes fill-in-the-blank, multiple choice, and matching questions, reinforcing your understanding of important topics including x-ray science and techniques, radiation safety, radiographic anatomy, pathology, patient care, ancillary clinical skills, and positioning of the upper and lower extremities, spine, chest, and headAnatomy and positioning labeling along with terminology exercises provide a thorough review of standard and accepted radiographic terminologyMore than 100 labeling exercises for anatomy diagrams and radiographic images help you learn anatomy and gain familiarity with how the body appears on radiographic imagesSection One offers learning activities and practice for all limited radiography topics and conceptsSection Two provides a preparation guide for the Limited Scope of Practice in Radiography Examination, along with expanded mock examsSection Three provides a preparation guide for the ARRT Bone Densitometry Equipment Operators Exam and includes study guidelines, ARRT content specifications, and a fully revised mock exam

Workbook and Licensure Exam Prep for Radiography Essentials for Limited Scope

The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects.

The aim of this book is to address the important questions: "How to design AI that is trustworthy", and "How to validate AI trustworthiness" in the scope of AI for cancer imaging research. The book discusses overall considerations and the generation of a framework; preparing for trustworthy AI, including the data and metadata for quality, transparency and traceability; implementing trustworthy AI with algorithms and Decision Support Systems; and validating trustworthy AI.

This is an ideal resource for researchers from technical and clinical research sites, postgraduate students, and healthcare professionals in cancer imaging and beyond.

Trustworthy AI in Cancer Imaging Research

Advances in Magnetic Resonance Technology and Applications

Advanced MR Techniques for Neurodegenerative Diseases covers state of the art developments in physiologic, metabolic, functional, and microstructural MRI of the brain. It provides an overview of these approaches and includes dynamic contrast enhanced (DCE) MRI, dynamic susceptibility contrast (DSC) MRI, arterial spin labeling (ASL), chemical exchange saturation transfer (CEST) MRI, magnetic resonance spectroscopy (MRS), resting state functional MRI (rsfMRI), microscopic diffusion imaging, and quantitative susceptibility mapping (QSM). Chapters then follow that present the application of these methods to Alzheimer’s Disease and vascular dementia, small vessel disease, Parkinson’s Disease, Lewy body dementia, Huntington’s Disease, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis. Advanced MR Techniques for Neurodegenerative Diseases is a comprehensive resource on the latest advanced MR techniques and their application to neurodegenerative diseases, suitable for MR engineers and physicists as well as clinicians and neuroscientists who use MR techniques for diagnosis and research.

Advanced MR Techniques for Neurodegenerative Diseases: Volume 13

This textbook is a concise introduction to medical imaging aimed at physical scientists and engineers, including budding biomedical engineers and biophysicists. The book introduces fundamental concepts related to how we "see" inside the body using medical imaging technology and what is needed to obtain useful images.&nbsp;The text first considers the underlying physical principles by which information about tissues within the body can be extracted in the form of signals, examining the major principles used: transmission, reflection, emission, and resonance. It then explains how these signals can be converted into images, i.e., full 3D volumes, demonstrating how common methods of "reconstruction" are shared by some imaging techniques, despite relying on different physics to generate the "signals." Finally, it explores how medical imaging can be used to generate more than just pictures, but genuine quantitative measurements, and increasingly, measurements of physiological processes at every point within the 3D volume using methods such as tracers and advanced dynamic acquisitions.&nbsp;Now in its second, fully updated and expanded edition, the textbook contains new sections on image analysis concepts, covers a wide range of techniques used to enhance and interpret medical imaging, and includes concise introductions to optimization and machine learning in their application to medical imaging . The second edition also includes expanded discussions on quantitative, functional, physiological, and metabolic imaging.&nbsp;'Principles of Medical Imaging for Engineers’ second edition will be invaluable to students and graduate students in engineering and physical sciences with an interest in biomedical engineering, as well as to their professors.

From Signals to Images

Principles of Medical Imaging for Engineers

Volume 2: Clinical Applications

The Impact of Artificial Intelligence on Healthcare Industry

How, Why and When

Ultrasound Physics and Technology

Primer on Cerebrovascular Research provides both clinical and basic cerebrovascular knowledge that is required for physicians, vascular researchers, biomedical students, and trainees to understand or conduct evidence-based clinical practice and cutting-edge experimental research. This book outlines how to a design experimental cerebrovascular research in the context of clinical relevance, conduct the study using proper methods, analyze the data accurately, and make conclusions in an unbiased and statistically correct way. Chapters will include representative examples and experimental protocols.

Primer on Cerebrovascular Research

Radiation Safety and Radiobiology In Medical Imaging

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