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Discrete Tomography: Foundations, Algorithms, and Applications: Applied and Numerical Harmonic Analysis

Editat de Gabor T. Herman, Attila Kuba
en Limba Engleză Paperback – 9 oct 2012
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 example arises in the electron microscopy of biological macromolecules, where we may assume that the object to be reconstructed is composed of ice, protein, and RNA. One can also apply electron mi­ croscopy to determine the presenceor absence ofatoms in crystallinestruc­ tures, which is again a two-valued situation.
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Specificații

ISBN-13: 9781461271963
ISBN-10: 1461271967
Pagini: 504
Ilustrații: XXII, 479 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.7 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Applied and Numerical Harmonic Analysis

Locul publicării:Boston, MA, United States

Public țintă

Research

Cuprins

Foundations.- Discrete Tomography: A Historical Overview.- Sets of Uniqueness and Additivity in Integer Lattices.- Tomographic Equivalence and Switching Operations.- Uniqueness and Complexity in Discrete Tomography.- Reconstruction of Plane Figures from Two Projections.- Reconstruction of Two-Valued Functions and Matrices.- Reconstruction of Connected Sets from Two Projections.- Algorithms.- Binary Tomography Using Gibbs Priors.- Probabilistic Modeling of Discrete Images.- Multiscale Bayesian Methods for Discrete Tomography.- An Algebraic Solution for Discrete Tomography.- Binary Steering of Nonbinary Iterative Algorithms.- Reconstruction of Binary Images via the EM Algorithm.- Compact Object Reconstruction.- Applications.- CT-Assisted Engineering and Manufacturing.- 3D Reconstruction from Sparse Radiographic Data.- Heart Chamber Reconstruction from Biplane Angiography.- Discrete Tomography in Electron Microscopy.- Tomography on the 3D-Torus and Crystals.- A Recursive Algorithm for Diffuse Planar Tomography.- From Orthogonal Projections to Symbolic Projections.

Recenzii

"This book is the first book on discrete tomography. The editors have collected very aptly papers representing all possible directions in discrete tomography. For anyone entering the area of discrete tomography [the book] is a must as it is comprehensive and covers all major aspects of this field."   —International Journal of Tomography & Statistics

Textul de pe ultima copertă

The visualization, construction, and reconstruction of multidimensional images are of intense interest in science and engineering today, and discrete tomography—which deals with the special case in which the object to be reconstructed has a small number of possible values—offers some significant new analytical and computational tools.
Discrete Tomography: Foundations, Algorithms, and Applications provides a critical survey of new methods, algorithms, and select applications that are the foundations of multidimensional image construction and reconstruction. The survey chapters, written by leading international authorities, are self-contained adn present the latest research and results in the field. The book covers three main areas: important theoretical results, available algorithms to utilize for reconstruction, and key applications where new results are indicative of greater utility. Following a thorough historical overview of the field, the book provides a journey through the various mathematical and computational problems of discrete tomography. This is followed by a section on numerous algorithmic techniques that can be used to achieve real reconstructions from image projections.
Topics and Features:
* historical overview and summary chapter
* uniqueness and complexity in discrete tomography
* probabilistic modeling  of discrete images
* binary tomography using Gibb priors
* discrete tomography on the 3-D torus and crystals
* binary steering
* 3-D tomographic reconstruction from sparse radiographic data
* symbolic projections
The book is an essential resource for the latest developments and tools in discrete tomography. Professionals, researchers, and practitioners in mathematics, computer imaging, scientific visualization, computer engineering, and multidimensional image processing will find the book an authoritative guide and reference tocurrent research, methods, and applications.