| 書目名稱 | Discrete Tomography |
| 副標題 | Foundations, Algorit |
| 編輯 | Gabor T. Herman,Attila Kuba |
| 視頻video | http://file.papertrans.cn/282/281174/281174.mp4 |
| 叢書名稱 | Applied and Numerical Harmonic Analysis |
| 圖書封面 |  |
| 描述 | Goals of the Book Overthelast thirty yearsthere has been arevolutionindiagnostic radiology as a result oftheemergenceofcomputerized tomography (CT), which is the process of obtaining the density distribution within the human body from multiple x-ray projections. Since an enormous variety of possible density values may occur in the body, a large number of projections are necessary to ensure the accurate reconstruction oftheir distribution. There are other situations in which we desire to reconstruct an object from its projections, but in which we know that the object to be recon- structed has only a small number of possible values. For example, a large fraction of objects scanned in industrial CT (for the purpose of nonde- structive testing or reverse engineering) are made of a single material and so the ideal reconstruction should contain only two values: zero for air and the value associated with the material composing the object. Similar as- sumptions may even be made for some specific medical applications; for example, in angiography ofthe heart chambers the value is either zero (in- dicating the absence of dye) or the value associated with the dye in the chamber. Another exampl |
| 出版日期 | Book 1999 |
| 關鍵詞 | 3-D torus; bayesian methods; binary tomography; computer imaging; diffuse planar tomography; discrete ima |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-1568-4 |
| isbn_softcover | 978-1-4612-7196-3 |
| isbn_ebook | 978-1-4612-1568-4Series ISSN 2296-5009 Series E-ISSN 2296-5017 |
| issn_series | 2296-5009 |
| copyright | Springer Science+Business Media New York 1999 |
|Archiver|手機版|小黑屋|
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