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Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function Read chapter Read first chapter

2018 | OriginalPaper | Chapter

An Improvement of Iterative Algebraic Reconstruction Technique by Using Bisectors: An Illustration in Computerized Tomography

Authors : Mohamad Soubra, Ömer Özgür Tanrıöver

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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Abstract

This paper proposes the utilization of bisectors for iterative algebraic reconstruction techniques to attain better image reconstruction. We use bisector hyperplanes and the average of the multiple solutions for beam equations. We also discussed why bisector hyperplanes may improve the approximate solution for pixel intensities and how they are obtained. Then, we defined the ART procedure with bisector hyperplanes and implemented the algorithm. Through an application, we compared the solution points obtained with other ART based methods and our ART procedure. As closer solution points may be obtained at each iteration; the images formed by pixels intensities based on these solutions may have higher quality.

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Appendix
Available only for authorised users
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Metadata
Title
An Improvement of Iterative Algebraic Reconstruction Technique by Using Bisectors: An Illustration in Computerized Tomography
Authors
Mohamad Soubra
Ömer Özgür Tanrıöver
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_66