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J. Imaging
Volume 8
Issue 1
10.3390/jimaging8010012
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Article

Principles for an Implementation of a Complete CT Reconstruction Tool Chain for Arbitrary Sized Data Sets and Its GPU Optimization

by
Jürgen Hofmann
*,
Alexander Flisch
and
Robert Zboray
Center for X-ray Analytics, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland
*
Author to whom correspondence should be addressed.
J. Imaging 2022, 8(1), 12; https://doi.org/10.3390/jimaging8010012
Submission received: 30 September 2021 / Revised: 23 December 2021 / Accepted: 7 January 2022 / Published: 15 January 2022
(This article belongs to the Special Issue X-ray Digital Radiography and Computed Tomography)
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Abstract

This article describes the implementation of an efficient and fast in-house computed tomography (CT) reconstruction framework. The implementation principles of this cone-beam CT reconstruction tool chain are described here. The article mainly covers the core part of CT reconstruction, the filtered backprojection and its speed up on GPU hardware. Methods and implementations of tools for artifact reduction such as ring artifacts, beam hardening, algorithms for the center of rotation determination and tilted rotation axis correction are presented. The framework allows the reconstruction of CT images of arbitrary data size. Strategies on data splitting and GPU kernel optimization techniques applied for the backprojection process are illustrated by a few examples.
Keywords: computed tomography; CT reconstruction software; GPU-based reconstruction; bad center of rotation correction; data splitting techniques computed tomography; CT reconstruction software; GPU-based reconstruction; bad center of rotation correction; data splitting techniques

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MDPI and ACS Style

Hofmann, J.; Flisch, A.; Zboray, R. Principles for an Implementation of a Complete CT Reconstruction Tool Chain for Arbitrary Sized Data Sets and Its GPU Optimization. J. Imaging 2022, 8, 12. https://doi.org/10.3390/jimaging8010012

AMA Style

Hofmann J, Flisch A, Zboray R. Principles for an Implementation of a Complete CT Reconstruction Tool Chain for Arbitrary Sized Data Sets and Its GPU Optimization. Journal of Imaging. 2022; 8(1):12. https://doi.org/10.3390/jimaging8010012

Chicago/Turabian Style

Hofmann, Jürgen, Alexander Flisch, and Robert Zboray. 2022. "Principles for an Implementation of a Complete CT Reconstruction Tool Chain for Arbitrary Sized Data Sets and Its GPU Optimization" Journal of Imaging 8, no. 1: 12. https://doi.org/10.3390/jimaging8010012

APA Style

Hofmann, J., Flisch, A., & Zboray, R. (2022). Principles for an Implementation of a Complete CT Reconstruction Tool Chain for Arbitrary Sized Data Sets and Its GPU Optimization. Journal of Imaging, 8(1), 12. https://doi.org/10.3390/jimaging8010012

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