Principles of Computerized Tomographic Imaging

Provides a comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data. Contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.

**Tag(s):**
Computer Vision

**Publication date**: 31 Dec 1988

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**Views**: 13,686

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**Post time**: 22 Apr 2008 09:29:57

Principles of Computerized Tomographic Imaging

Provides a comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data. Contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.

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Excerpts from the Book 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.

Avinash C. Kak and Malcolm Slaney wrote:Electronic copy (C) 1999 A. C. Kak and Malcolm Slaney. You are free to use this electronic version of Principles of Computerized Tomographic Imaging for your personal use. No commercial use is allowed without permission.

Excerpts from the Book 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.

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