Evaluation of an integrated 3D-printed phantom for coronary CT angiography using iterative reconstruction algorithm

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dc.contributor.authorAbdullah, K. A.
dc.contributor.authorMcEntee, Mark F.
dc.contributor.authorReed, W.
dc.contributor.authorKench, P. L.
dc.date.accessioned2023-07-19T14:25:49Z
dc.date.available2023-07-19T14:25:49Z
dc.date.issued2020
dc.description.abstractIntroduction: 3D-printed imaging phantoms are now increasingly available and used for computed tomography (CT) dose optimisation study and image quality analysis. The aim of this study was to evaluate the integrated 3D-printed cardiac insert phantom when evaluating iterative reconstruction (IR) algorithm in coronary CT angiography (CCTA) protocols. Methods: The 3D-printed cardiac insert phantom was positioned into a chest phantom and scanned with a 16-slice CT scanner. Acquisitions were performed with CCTA protocols using 120 kVp at four different tube currents, 300, 200, 100 and 50 mA (protocols A, B, C and D, respectively). The image data sets were reconstructed with a filtered back projection (FBP) and three different IR algorithm strengths. The image quality metrics of image noise, signal–noise ratio (SNR) and contrast–noise ratio (CNR) were calculated for each protocol. Results: Decrease in dose levels has significantly increased the image noise, compared to FBP of protocol A (P < 0.001). As a result, the SNR and CNR were significantly decreased (P < 0.001). For FBP, the highest noise with poor SNR and CNR was protocol D with 19.0 ± 1.6 HU, 18.9 ± 2.5 and 25.1 ± 3.6, respectively. For IR algorithm, the highest strength (AIDR3Dstrong) yielded the lowest noise with excellent SNR and CNR. Conclusions: The use of IR algorithm and increasing its strengths have reduced noise significantly and thus increased the SNR and CNR when compared to FBP. Therefore, this integrated 3D-printed phantom approach could be used for dose optimisation study and image quality analysis in CCTA protocols. © 2020 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technologyen
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAbdullah, K. A., McEntee, M. F., Reed, W. and Kench, P. L. (2020) 'Evaluation of an integrated 3D‐printed phantom for coronary CT angiography using iterative reconstruction algorithm', Journal of Medical Radiation Sciences, 67(3), pp.170-176. doi: 10.1002/jmrs.387en
dc.identifier.doi10.1002/jmrs.387
dc.identifier.endpage176
dc.identifier.issn20513895
dc.identifier.issued3
dc.identifier.journaltitleJournal of Medical Radiation Sciencesen
dc.identifier.startpage170
dc.identifier.urihttps://hdl.handle.net/10468/14757
dc.identifier.volume67
dc.language.isoenen
dc.publisherJohn Wiley and Sons Ltden
dc.rights© 2020, the Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCoronary CTAen
dc.subjectDose optimisationen
dc.subjectImage qualityen
dc.subjectPhantomen
dc.subjectReconstruction settingsen
dc.titleEvaluation of an integrated 3D-printed phantom for coronary CT angiography using iterative reconstruction algorithmen
dc.typeArticle (peer-reviewed)en
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