Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI. - Explains the underlying principles of MRI reconstruction, along with the latest research - Gives example codes for some of the methods presented - Includes updates on the latest developments, including compressed sensing, tensor-based reconstruction and machine learning based reconstruction

Ideas of 'nursing' and 'nurses' carry a powerful social charge. The image of the nurse continues to be a symbol of caring and of duty at the same time as it projects a view of femininity, 'stereotypical' in its gender relations. How has this image come to be constructed? An empirical investigation of representations of nursing practices in Britain focusing on publicity and promotional materials and their relationship to popular fictional narratives reveals a strong correlation between what are usually described as discrete forms of signification. Recruitment images, provide an important source of information and inspiration for those considering nurse training. Julia Hallam, draws from a wide range of sources including biographies, marketing and recruitment literature, popular fiction and film to explore this question. In doing so she makes an original contribution to the debates surrounding gender and occupational identity. The book will provide a valuable resource for undergraduate and postgraduate students on courses such as the social history of nursing, the understanding of health and illness, women's studies, gender studies and sociology courses.

The first book to help the modern radiographer and radiologist to understand how digital imaging, manipulation and storage systems work.

Technical collection represents the largest asymmetric edge that technologically advanced countries such as the United States and its allies have in the intelligence business. Intelligence veteran Robert M. Clark’s new book offers a succinct, logically organized, and well written overview of technical collection, explained at a non technical level for those new to the field. Filling a void in the literature, The Technical Collection of Intelligence is the only book that comprehensively examines the collection, processing, and exploitation of non-literal intelligence information, including laser, acoustic, and infrared signals; non-imaging optical intelligence sources; and radar tracking and measurement of aerospace vehicles. A compelling final chapter addresses the substantial challenges that come with managing technical collection. A stunning full-color interior design features high quality graphics while a handy “tabs” feature keeps content at the ready. A useful list of recommended books and reports, a glossary of terms, and a list of acronyms make this guide a go-to resource. Technical Collection will prove invaluable to all source analysts, managers of technical collection, customers of intelligence, and recruiters for the intelligence community.

Space Image Processing covers the design and coding of PC software for processing and manipulating imagery obtained by satellites and other spacecraft. Although the contents relate to several scientific and technological fields, it serves as a programming book, providing readers with essential technical information for developing PC applications. The material focuses on images of the planet and other celestial bodies obtained by orbiting and non-orbiting spacecraft. This book is not about raster graphics in general, but about raster graphics processing as it applies to space imagery. Three parts divide the text: 1. Science - background at an introductory level - scientific principles underlying space imagery and its processing - topics related to space and remote sensing. 2. Technology - topics related to space imagery - geodesy, cartography, image data formats, image processing. 3. Programming - code examples for DOS and Windows programming on the PC - consideration of low-level and C++ code - routines with a tutorial and demonstrative purpose.