AIR Tools II: algebraic iterative reconstruction methods, improved implementation

We present a MATLAB software package with efficient, robust, and flexible implementations of algebraic iterative reconstruction (AIR) methods for computing regularized solutions to discretizations of inverse problems. These methods are of particular interest in computed tomography and similar proble...

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Bibliographic Details
Published in:	Numerical algorithms Vol. 79; no. 1; pp. 107 - 137
Main Authors:	Hansen, Per Christian, Jørgensen, Jakob Sauer
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2018 Springer Nature B.V
Subjects:	Algebra Algorithms Computed tomography Computer Science Image reconstruction Inverse problems Iterative methods Matrix algebra Modular design Numeric Computing Numerical Analysis Original Paper Software packages Theory of Computation Tomography ART methods Column-action methods Stopping rules Algebraic iterative reconstruction Semi-convergence 65F10 65F22 Tomographic imaging SIRT methods
ISSN:	1017-1398, 1572-9265
Online Access:	Get full text
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