Principles of Computerized Tomographic Imaging (Classics in Applied Mathematics, Series Number 33)

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 is a Professor of Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana. His current research interests include computer vision, video and image processing, and object-oriented programming. He is the coauthor of Digital Picture Processing (1982). Malcolm Slaney is a Research Staff Member at the IBM Almaden Research Center, San Jose, California. His current research interests include audio and video signals manipulation, auditory perception, and machine learning.