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Titlebook: Computational Radiology and Imaging; Therapy and Diagnost Christoph Börgers,Frank Natterer Book 1999 Springer-Verlag New York, Inc. 1999 Ap

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书目名称Computational Radiology and Imaging
副标题Therapy and Diagnost
编辑Christoph Börgers,Frank Natterer
视频video
丛书名称The IMA Volumes in Mathematics and its Applications
图书封面Titlebook: Computational Radiology and Imaging; Therapy and Diagnost Christoph Börgers,Frank Natterer Book 1999 Springer-Verlag New York, Inc. 1999 Ap
描述The articles collected in this volume are based on lectures given at the IMA Workshop, "Computational Radiology and Imaging: Therapy and Diagnostics", March 17-21, 1997. Introductory articles by the editors have been added. The focus is on inverse problems involving electromagnetic radiation and particle beams, with applications to X-ray tomography, nuclear medicine, near-infrared imaging, microwave imaging, electron microscopy, and radiation therapy planning. Mathematical and computational tools and models which play important roles in this volume include the X-ray transform and other integral transforms, the linear Boltzmann equation and, for near-infrared imaging, its diffusion approximation, iterative methods for large linear and non-linear least-squares problems, iterative methods for linear feasibility problems, and optimization methods. The volume is intended not only for mathematical scientists and engineers working on these and related problems, but also for non-specialists. It contains much introductory expository material, and a large number of references. Many unsolved computational and mathematical problems of substantial practical importance are pointed out.
出版日期Book 1999
关键词Approximation; X-ray; algorithms; diagnostics; differential equation; electron microscopy; imaging; medical
版次1
doihttps://doi.org/10.1007/978-1-4612-1550-9
isbn_softcover978-1-4612-7189-5
isbn_ebook978-1-4612-1550-9Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer-Verlag New York, Inc. 1999
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Book 1999ical scientists and engineers working on these and related problems, but also for non-specialists. It contains much introductory expository material, and a large number of references. Many unsolved computational and mathematical problems of substantial practical importance are pointed out.
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Supporter Ownership in English Footballete,unordered set of vertex points (but with no truncated projections) will be presented..Images obtained from these algorithms will be presented for the cases of computer -simulated data, and for data taken from a large-area CT scanner.
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Ralph da Costa Nunez Ph.D.,Matthew Adamssingular for the entire configuration of beams. The natural Hilbert space metric among beam profiles provides another criterion for choosing beam angles. The total squared intensity at each beam angle (in the . - metric) is used as a ranking of beam orientations to maximize the overlap between the s
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A General Framework for Iterative Reconstruction Algorithms in Optical Tomography, Using a Finite Elcuss alternative photon transport models and measurement schemes. We develop the inverse problem as the optimisation of an objective functions and develop three classes of algorithms fors its solution: Newton methods, linearised methods, and gradient methods. We concentrate on the use numerical meth
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