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You asked for it and HPI listened! Radiology Imaging Words and Phrases contains the terms you need today and into the 21st century. Includes current terms in diagnostic imaging, interventional radiology, therapeutic radiology, nuclear medicine, neuroradiology, ultrasonography, computed tomography (CT), MRI, contrast media, imaging agents, radiopharmaceuticals.
Word book with more than 50,000 entries from diagnostic imaging, interventional radiology, therapeutic radiology, nuclear medicine, neuroradiology, ultrasonography, computed tomography (CT), magnetic resonance imaging (MRI), and other imaging agents.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.
Computerized medical imaging and image analysis have been the central focus in diagnostic radiology. They provide revolutionalizing tools for the visualization of physiology as well as the understanding and quantitative measurement of physiological parameters. This book offers in-depth knowledge of medical imaging instrumentation and techniques as well as multidimensional image analysis and classification methods for research, education, and applications in computer-aided diagnostic radiology. Internationally renowned researchers and experts in their respective areas provide detailed descriptions of the basic foundation as well as the most recent developments in medical imaging, thus helping readers to understand theoretical and advanced concepts for important research and clinical applications.
Medical imaging has transformed the ways in which various conditions, injuries, and diseases are identified, monitored, and treated. As various types of digital visual representations continue to advance and improve, new opportunities for their use in medical practice will likewise evolve. Medical Imaging: Concepts, Methodologies, Tools, and Applications presents a compendium of research on digital imaging technologies in a variety of healthcare settings. This multi-volume work contains practical examples of implementation, emerging trends, case studies, and technological innovations essential for using imaging technologies for making medical decisions. This comprehensive publication is an essential resource for medical practitioners, digital imaging technologists, researchers, and medical students.
All you need to successfully undertake a research project! This exciting new book provides radiography students and practitioners with the key skills and strategies required to undertake research within medical imaging and radiotherapy. Quantitative and qualitative research methods are covered and guidance given on the entire research process - from literature researching, information management and literature evaluation, through to data collection, data analysis and writing up. Specific instruction is given on the structure and presentation of dissertations, writing articles for publication and on presentation skills for presenting at conferences. FEATURES Tailored to meet the specific needs of radiography students plus practitioners undertaking research Includes practice tips and pitfalls to avoid Covers how to apply for research funding for larger scale projects Practical examples throughout clarify the concepts Accompanying EVOLVE website EVOLVE website An accompanying website includes interactive examples of how to use the statistics tests discussed within the text. Tailored to meet needs of radiography and medical imaging students and practitioners undertaking researchAccompanying website includes 10 examples on how to use descriptive and inferential statistics packages with interactive 10-step exercises and video clips on how to start up the packagesCase examples throughout clarify concepts.
This book constitutes the proceedings of the 26th International Conference on Information Processing in Medical Imaging, IPMI 2019, held at the Hong Kong University of Science and Technology, Hong Kong, China, in June 2019. The 69 full papers presented in this volume were carefully reviewed and selected from 229 submissions. They were organized in topical sections on deep learning and segmentation; classification and inference; reconstruction; disease modeling; shape, registration; learning motion; functional imaging; and white matter imaging. The book also includes a number of post papers.