Principles of Computerized Tomographic Imaging (Classics in Applied Mathematics)

Description

Principles of Computerized Tomographic Imaging provides a comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging. In addition to the purely mathematical and algorithmic aspects of these algorithms, the book also discusses the artifacts caused by the nature of the various forms of energy sources that can be used for generating the projection data. Kak and Slaney go beyond theory, emphasizing real-world applications and detailing the steps necessary for building a tomographic system.

Since the fundamental aspects of tomographic reconstruction algorithms have remained virtually the same since this book was originally published, it is just as useful today as it was in 1987. It explains, among other things, what happens when there is excessive noise in the projection data; when images are formed from insufficient projection data; and when refracting or diffracting energy sources are used for imaging. Anyone interested in these explanations will find a wealth of useful information in this book.

Disclaimer:
Contents of this page are indexed from this page for search purpose only. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Principles of Computerized Tomographic Imaging (Classics in Applied Mathematics)" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2657
2. [eknt] Principles of Computerized Tomographic Imaging
3. [share_ebook] Principles of Computerized Tomographic Imaging
4. The Mathematics of Computerized Tomography (Classics in Applied Mathematics)
5. The Mathematics of Computerized Tomography (Classics in Applied Mathematics)
6. The Mathematics of Computerized Tomography (Classics in Applied Mathematics)
7. [request_ebook] Nonlinear Systems Analysis (Classics in Applied Mathematics)
8. Mathematics Applied to Continuum Mechanics (Classics in Applied Mathematics)
9. Mathematics Applied to Continuum Mechanics (Classics in Applied Mathematics)
10. Stochastic Processes (Classics in Applied Mathematics)
11. An Introduction to Invariant Imbedding (Classics in Applied Mathematics)
12. Optimal Design of Experiments (Classics in Applied Mathematics)
13. Optimization and Nonsmooth Analysis (Classics in Applied Mathematics)
14. Mathematical Theory of Reliability (Classics in Applied Mathematics)
15. Convex Analysis and Variational Problems (Classics in Applied Mathematics)
16. Invariant Subspaces of Matrices with Applications (Classics in Applied Mathematics)