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Titlebook: Mathematics and Computer Science in Medical Imaging; Max A. Viergever (Director),Andrew Todd-Pokropek ( Conference proceedings 1988 Spring

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書目名稱Mathematics and Computer Science in Medical Imaging
編輯Max A. Viergever (Director),Andrew Todd-Pokropek (
視頻videohttp://file.papertrans.cn/627/626817/626817.mp4
叢書名稱NATO ASI Subseries F:
圖書封面Titlebook: Mathematics and Computer Science in Medical Imaging;  Max A. Viergever (Director),Andrew Todd-Pokropek ( Conference proceedings 1988 Spring
描述Medical imaging is an important and rapidly expanding area in medical science. Many of the methods employed are essentially digital, for example computerized tomography, and the subject has become increasingly influenced by develop- ments in both mathematics and computer science. The mathematical problems have been the concern of a relatively small group of scientists, consisting mainly of applied mathematicians and theoretical physicists. Their efforts have led to workable algorithms for most imaging modalities. However, neither the fundamentals, nor the limitations and disadvantages of these algorithms are known to a sufficient degree to the physicists, engineers and physicians trying to implement these methods. It seems both timely and important to try to bridge this gap. This book summarizes the proceedings of a NATO Advanced Study Institute, on these topics, that was held in the mountains of Tuscany for two weeks in the late summer of 1986. At another (quite different) earlier meeting on medical imaging, the authors noted that each of the speakers had given, there, a long introduction in their general area, stated that they did not have time to discuss the details of the new w
出版日期Conference proceedings 1988
關(guān)鍵詞algorithms; group; imaging; mathematics; medical imaging; complexity
版次1
doihttps://doi.org/10.1007/978-3-642-83306-9
isbn_softcover978-3-642-83308-3
isbn_ebook978-3-642-83306-9Series ISSN 0258-1248
issn_series 0258-1248
copyrightSpringer-Verlag Berlin Heidelberg 1988
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Mathematics and Computer Science in Medical Imaging978-3-642-83306-9Series ISSN 0258-1248
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Image Structures treated in some depth, including the problem of sampling and that of canonical projection. Objects are defined by way of a theory of (physical) measurements. Their properties (shape of the boundary, skeleton, natural subparts) are defined and their topological changes over varying ranges of resolu
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