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This is a Pageburst digital textbook; This unique chiropractic text takes a pattern approach to differential diagnosis that is rooted in the use of plain film, MRI, and CT in the imaging of the skeletal system, chest, abdomen, brain, and spinal cord. This pattern approach helps bridge the transition from image to differential diagnosis by helping readers recognize patterns of abnormality and develop a list of viable diagnostic possibilities. Coverage also includes an alphabetical listing of disease entities featuring detailed descriptions in a consistent format that lists background, imaging findings, clinical comments, key concepts, and more. Broad coverage of a wide range of imaging topics beyond basic skeletal radiology, such as the chest, abdomen, brain, and spinal cord This comprehensive text is contained in a convenient single volume Emphasizes plain film radiology and integrates it with MRI and CT Combines the utility of a pattern approach to understanding imaging diagnosis with traditional, detailed descriptions of disease entities Features extensive cross referencing from pattern to disease descriptions for quick reference Contains over 3500 high quality photos and illustrations Includes an extensive radiology chapter on physics, with algorithms for improving film quality Offers in-depth coverage of positioning and roentgenometrics Detailed information on traumatic injuries is listed in an easy-to-use table format Features a thorough discussion of disk degeneration and herniations Written by both chiropractors and medical doctors, providing a broader, multidisciplinary perspective Includes a complete glossary of nearly 500 radiological terms Front inside cover contains a pathology quick reference with corresponding figure numbers Contains a helpful listing of radiology mnemonics Improved image quality and larger images More in-depth coverage of congenital and normal variant topics Expanded sections on normal anatomy and film interpretation Includes more MRI patterns All chapters have been completely revised and updated
Dr. Eisenberg's best seller is now in its Fifth Edition—with brand-new material on PET and PET/CT imaging and expanded coverage of MRI and CT. Featuring over 3,700 illustrations, this atlas guides readers through the interpretation of abnormalities on radiographs. The emphasis on pattern recognition reflects radiologists' day-to-day needs...and is invaluable for board preparation. Organized by anatomic area, the book outlines and illustrates typical radiologic findings for every disease in every organ system. Tables on the left-hand pages outline conditions and characteristic imaging findings...and offer comments to guide diagnosis. Images on the right-hand pages illustrate the major findings noted in the tables. A new companion Website allows readers to assess and further sharpen their diagnostic skills.
This book presents the first in-depth introduction to parallel imaging techniques and, in particular, to the application of parallel imaging in clinical MRI. It will provide readers with a broader understanding of the fundamental principles of parallel imaging and of the advantages and disadvantages of specific MR protocols in clinical applications in all parts of the body at 1.5 and 3 Tesla.
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.
Fundamentals of Medical Imaging, second edition, is an invaluable technical introduction to each imaging modality, explaining the mathematical and physical principles and giving a clear understanding of how images are obtained and interpreted. Individual chapters cover each imaging modality – radiography, CT, MRI, nuclear medicine and ultrasound – reviewing the physics of the signal and its interaction with tissue, the image formation or reconstruction process, a discussion of image quality and equipment, clinical applications and biological effects and safety issues. Subsequent chapters review image analysis and visualization for diagnosis, treatment and surgery. New to this edition: • Appendix of questions and answers • New chapter on 3D image visualization • Advanced mathematical formulae in separate text boxes • Ancillary website containing 3D animations: www.cambridge.org/suetens • Full colour illustrations throughout Engineers, clinicians, mathematicians and physicists will find this an invaluable aid in understanding the physical principles of imaging and their clinical applications.
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. - Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems - Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics - Features self-contained chapters with a thorough literature review - Assesses the development of future machine learning techniques and the further application of existing techniques
This volume highlights and broadens our understanding of the correct use and the possible contraindications of contrast agents applied in radiology. Written by experts in the field, it not only focuses on the chemistry, physiochemical properties and pharmacokinetics of both iodinated and gadolinium-containing contrast agents, but also on the relevant safety issues such as frequency of their short- and long-term side effects and ways to avoid them nephrotoxicity risk related to the iodinated contrast agents NSF (nephrogenic systemic fibrosis) accumulation of gadolinium in the brain use of contrast agents in pediatric patients and pregnancy It also includes essential data on the use of contrast agents, such as scanning protocols, in the context of various clinical conditions. This comprehensive manual addresses all professionals involved in radiological imaging and is an invaluable tool for radiologists and technologists, as well as for residents and clinicians.
Covering the basics of X-rays, CT, PET, nuclear medicine, ultrasound, and MRI, this textbook provides senior undergraduate and beginning graduate students with a broad introduction to medical imaging. Over 130 end-of-chapter exercises are included, in addition to solved example problems, which enable students to master the theory as well as providing them with the tools needed to solve more difficult problems. The basic theory, instrumentation and state-of-the-art techniques and applications are covered, bringing students immediately up-to-date with recent developments, such as combined computed tomography/positron emission tomography, multi-slice CT, four-dimensional ultrasound, and parallel imaging MR technology. Clinical examples provide practical applications of physics and engineering knowledge to medicine. Finally, helpful references to specialised texts, recent review articles, and relevant scientific journals are provided at the end of each chapter, making this an ideal textbook for a one-semester course in medical imaging.
This book offers practical guidelines for performing efficient and cost-effective MRI examinations. By adopting a practical protocol-based approach the work-flow in a MRI unit can be streamlined and optimized. All chapters have been thoroughly reviewed, and new techniques and figures are included. There is a new chapter on MRI of the chest. This book will help beginners to implement the protocols and will update the knowledge of more experienced users.
Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis, computational physiology and telemedicine with medical images. This book highlights annotations for all the medical and clinical imaging researchers’ a fundamental advances of clinical and medical image analysis techniques. This book will be a good source for all the medical imaging and clinical research professionals, outstanding scientists, and educators from all around the world for network of knowledge sharing. This book will comprise high quality disseminations of new ideas, technology focus, research results and discussions on the evolution of Clinical and Medical image analysis techniques for the benefit of both scientific and industrial developments. Features: Research aspects in clinical and medical image processing Human Computer Interaction and interface in imaging diagnostics Intelligent Imaging Systems for effective analysis using machine learning algorithms Clinical and Scientific Evaluation of Imaging Studies Computer-aided disease detection and diagnosis Clinical evaluations of new technologies Mobility and assistive devices for challenged and elderly people This book serves as a reference book for researchers and doctoral students in the clinical and medical imaging domain including radiologists. Industries that manufacture imaging modality systems and develop optical systems would be especially interested in the challenges and solutions provided in the book. Professionals and practitioners in the medical and clinical imaging may be benefited directly from authors’ experiences.