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This book highlights the state-of-the-art research and discovery in the use of chitosan-based nanocomposites in biomedical applications, including the scope to which these novel materials have been incorporated by the community. It provides an exceptional insight into the strategies for the synthesis and chemical modifications of chitosan, characterization techniques, their use as anticancer agents, antimicrobial, antiviral, and antifungal agents, their role in the biomedical field, and applications in drug delivery, gene therapy, dentistry, orthopedics, etc. This book will also emphasize the challenges with previous signs of progress and way for further research, details relating to the current pioneering technology, and future perspectives with a multidisciplinary approach. Furthermore, it presents up-to-date information on the economics, toxicity, and regulations related to these novel materials.
This contributed volume reviews the latest advances in all the new technologies currently developed for MagnetoEncephaloGraphy (MEG) recordings, as well as sensor technologies and integrated sensor arrays for on-scalp MEG. The book gives an account of the first MEG imaging studies and explores the new field of feasible, experimental paradigms of on-scalp MEG. This is an ideal book for engineers, researchers, and students in the neurosciences interested in MEG imaging.
Electronic imaging and sensing systems are used for medical diagnosis. In recent years, for example, dental offices have been switching to digital X-ray imaging systems. Another growing application area is the use of digital infrared imaging systems for home inspections which can spot invisible water damage. Of course, electronic imaging and sen
Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC.
This book explores the design of ultra-low-power radio-frequency integrated circuits (RFICs), with communication distances ranging from a few centimeters to a few meters. The authors describe leading-edge techniques to achieve ultra-low-power communication over short-range links. Many different applications are covered, ranging from body-area networks to transcutaneous implant communications and smart-appliance sensor networks. Various design techniques are explained to facilitate each of these applications.
Provides both the most updated formulations of the sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, as well interpolation-error-free methods of image resampling and the theory of discrete representation of signal integral transforms.
Whether you are studying or already using digital imaging techniques, developing proficiency in the subject is not possible without mastering practical skills. In this book, Prof. Yaroslavsky delivers a complete applied course in digital imaging aimed at advanced students and practitioners. Covering all areas of digital imaging, the text provides an outline of outlying principles of each topic while offering more than 80 MATLAB┬« based exercises. Subjects addressed embrace image digitization (discretization, quantization, compression), digital image formation and computational imaging, image resampling and building continuous image models, image and noise statistical characterization and diagnostics, statistical image models and pattern formation, image correlators for localization of objects, methods of image perfecting (denoising, deblurring), and methods of image enhancement. Key features include: Supports * studying of all aspects of digital imaging from image signal digitization to image parameter estimation, recovery, restoration and enhancement. * MATLAB┬« source codes for exercises are provided, which readers can modify for their particular needs and tastes, to design new exercises and, in addition, to use them for solving particular image-processing tasks. * Test signals and images provided in the book, as well as methodology of the experiments, will be useful for readers in their further studies and practical work. * Exercises are supported by outlines of the corresponding theory. The book offers a unique combination of exercises, supportive software and data set that can be used not only for studying the subject, but in further practical work.
Offers an overview of the field of super-resolution imaging. Surveying the techniques in super-resolution imaging, this title provides coverage of the implementations and applications of super-resolution imaging. It discusses, among others, medical, military, and microscopy applications.