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Books > Medicine > Other branches of medicine > Medical imaging > Tomography
Groups biological applications by topic-from developmental biology to major organ systems Presents a comprehensive review of the most recent applications of optical coherence tomography (OCT) in biology, medicine, engineering, and applied physics. Summarizes technological advances that led to the availability of viable imaging tools and modern methods of OCT for optical biopsy, surgical guidance, and quality control of advanced composites in situ. The Handbook of Optical Coherence Tomography discusses nonbiological methods of OCT such as monitoring advanced composites and optical data storage new imaging concepts for dermatological, pharmacological, cosmetological, and dental applications Contemporary diagnostic procedures for posterior segments of the eye to prevent macular and optic nerve diseases, glaucoma, and retinal detachment With contributions from over 60 international authorities, the Handbook of Optical Coherence Tomography is an essential source for optical, biomedical, and materials engineers; applied physicists; biochemists and biologists; and upper-level undergraduate and graduate students in these disciplines.
Developments in CT technology during the last 20 years have impressively improved its diagnostic potentialities. Part of a two-volume set that covers all aspects of CT imaging, Multi-Detector CT Imaging: Principles, Head, Neck, and Vascular Systems contains easily searchable clinical specialty chapters that provide specific information without need of an index. The coverage goes far beyond just a "how-to" or an encyclopedia of findings, however. The authors have uniformly put techniques, clinical findings, pathologic disease presentations, and clinical implications of imaging findings in practical perspective. This Volume Features: Discusses technical principles, CT perfusion, contrast media, postprocessing and clinical applications, and radiation dose Covers imaging of the neck and brain, including paranasal sinuses and the ear, brain tumors, neurodegenerative diseases, CNS infection, and head trauma Examines how to use CT data for planning cardiovascular procedures Includes coverage of pathologies of the pericardium and CT venography Presents information on clinical applications in lung disease With the critical role CT plays and the rapid innovations in computer technology, it is no wonder that advances in the capabilities and complexity of CT imaging continue to evolve. While information about these developments may be scattered about in journals and other resources, this two-volume set provides an authoritative, up-to-date, and educational reference that covets the entire spectrum of CT.
The new Burgener: Improve your interpretation skills with this bestselling comprehensive reference to interpreting abnormal CT findings Differential Diagnosis in Computed Tomography, 2nd edition, is an invaluable reference aid in the evaluation of CT images to help confidently gain a general diagnostic impression and a reasonable differential diagnosis. In contrast to disease-oriented radiology texts, this book is organized by CT findings, enabling the reader to quickly match the appropriate differential diagnosis to CT results. Special features of the second edition: Continuation of the successful Burgener concept: Comprehensive tables describe the imaging patterns of the various diseases that may present on CT, along with other characteristically associated imaging findings and pertinent physiopathologic, pathologic, and clinical data Over 2,000 detailed, high-quality images demonstrating a wide range of common and uncommon CT findings Chapters organized according to anatomic regions, from the brain to the pelvis and the musculoskeletal system, with new chapters on meningeal and calvarian lesions and on trauma Updated and revised sections reflecting the latest advances in CT technology and indications, including accurate staging of intra-articular and spinal fractures and evaluation of vascular diseases Extensive index systematically cross-references diseases and CT findings for optimal access to information Recognizing the central role that CT plays in the field of modern medical imaging, this book is essential for physicians who want to strengthen their diagnostic acumen and CT interpretation skills: radiologists in practice; residents preparing for board exams; and any other physician charged with understanding and interpreting CT images.
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the "analyze now" button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches. |
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