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, Ana Vaniqui, BSc Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre , Maastricht , Netherlands Search for other works by this author on: Oxford Academic Lotte E J R Schyns, MSc Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre , Maastricht , Netherlands Search for other works by this author on: Oxford Academic Isabel P Almeida, MSc Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre , Maastricht , Netherlands Search for other works by this author on: Oxford Academic Brent van der Heyden, MSc Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre , Maastricht , Netherlands Search for other works by this author on: Oxford Academic Mark Podesta, PhD Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre , Maastricht , Netherlands Search for other works by this author on: Oxford Academic Frank Verhaegen, PhD Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre , Maastricht , Netherlands Search for other works by this author on: Oxford Academic
https://orcid.org/0000-0003-0530-1294 British Journal of Radiology, Volume 92, Issue 1095, 1 March 2019, 20180447, https://doi.org/10.1259/bjr.20180447
Published:
07 November 2018
Article history
Received:
17 May 2018
Revision received:
11 September 2018
Accepted:
23 October 2018
Published:
07 November 2018
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Ana Vaniqui, Lotte E J R Schyns, Isabel P Almeida, Brent van der Heyden, Mark Podesta, Frank Verhaegen, The effect of different image reconstruction techniques on pre-clinical quantitative imaging and dual-energy CT, British Journal of Radiology, Volume 92, Issue 1095, 1 March 2019, 20180447, https://doi.org/10.1259/bjr.20180447
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Objective:
To analyse the effect of different image reconstruction techniques on image quality and dual energy CT (DECT) imaging metrics.
Methods:
A software platform for pre-clinical cone beam CT X-ray image reconstruction was built using the open-source reconstruction toolkit. Pre-processed projections were reconstructed with filtered back-projection and iterative algorithms, namely Feldkamp, Davis, and Kress (FDK), Iterative FDK, simultaneous algebraic reconstruction technique (SART), simultaneous iterative reconstruction technique and conjugate gradient. Imaging metrics were quantitatively assessed, using a quality assurance phantom, and DECT analysis was performed to determine the influence of each reconstruction technique on the relative electron density (ρe) and effective atomic number (Zeff) values.
Results:
Iterative reconstruction had favourable results for the DECT analysis: a significantly smaller spread for each material in the ρe-Zeff space and lower Zeff and ρe residuals (on average 24 and 25% lower, respectively). In terms of image quality assurance, the techniques FDK, Iterative FDK and SART provided acceptable results. The three reconstruction methods showed similar geometric accuracy, uniformity and CT number results. The technique SART had a contrast-to-noise ratio up to 76% higher for solid water and twice as high for Teflon, but resolution was up to 28% lower when compared to the other two techniques.
Conclusions:
Advanced image reconstruction can be beneficial, but the benefit is small, and calculation times may be unacceptable with current technology. The use of targeted and downscaled reconstruction grids, larger, yet practicable, pixel sizes and GPU are recommended.
Advances in knowledge:
An iterative CBCT reconstruction platform was build using RTK.
© 2019 The Authors. Published by the British Institute of Radiology
This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Subject
Radiotherapy and Oncology
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