Determination of a suitable low-dose abdominopelvic CT protocol using model-based iterative reconstruction through cadaveric study.

Show simple item record Moloney, Fiachra Twomey, Maria Fama, Daniel Balta, Joy Y. James, Karl Kavanagh, Richard G. Moore, Niamh Murphy, Mary J. O'Mahony, Siobhan M. Maher, Michael M. Cryan, John F. O'Connor, Owen J. 2018-08-15T14:53:38Z 2018-08-15T14:53:38Z 2018-04-15
dc.identifier.citation Moloney, F., Twomey, M., Fama, D., Balta, J. Y., James, K., Kavanagh, R. G., Moore, N., Murphy, M. J., O'Mahony, S. M., Maher, M. M., Cryan, J. F. and O'Connor, O. J. 'Determination of a suitable low-dose abdominopelvic CT protocol using model-based iterative reconstruction through cadaveric study', Journal of Medical Imaging and Radiation Oncology, In Press. doi: 10.1111/1754-9485.12733 en
dc.identifier.startpage 1 en
dc.identifier.endpage 25 en
dc.identifier.issn 1754-9485
dc.identifier.doi 10.1111/1754-9485.12733
dc.description.abstract Introduction: Cadaveric studies provide a means of safely assessing new technologies and optimizing scanning prior to clinical validation. Reducing radiation exposure in a clinical setting can entail incremental dose reductions to avoid missing important clinical findings. The use of cadavers allows assessment of the impact of more substantial dose reductions on image quality. Our aim was to identify a suitable low‐dose abdominopelvic CT protocol for subsequent clinical validation. Methods: Five human cadavers were scanned at one conventional dose and three low‐dose settings. All scans were reconstructed using three different reconstruction algorithms: filtered back projection (FBP), hybrid iterative reconstruction (60% FBP and 40% adaptive statistical iterative reconstruction (ASIR40)), and model‐based iterative reconstruction (MBIR). Two readers rated the image quality both quantitatively and qualitatively. Results: Model‐based iterative reconstruction images had significantly better objective image noise and higher qualitative scores compared with both FBP and ASIR40 images at all dose levels. The greatest absolute noise reduction, between MBIR and FBP, of 34.3 HU (equating to a 68% reduction) was at the lowest dose level. MBIR reduced image noise and improved image quality even in CT images acquired with a mean radiation dose reduction of 62% compared with conventional dose studies reconstructed with ASIR40, with lower levels of objective image noise, superior diagnostic acceptability and contrast resolution, and comparable subjective image noise and streak artefact scores. Conclusion: This cadaveric study demonstrates that MBIR reduces image noise and improves image quality in abdominopelvic CT images acquired with dose reductions of up to 62%. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Wiley en
dc.rights © 2018 The Royal Australian and New Zealand College of Radiologists. This is the peer reviewed version of the following article: Moloney, F. et al (2018), Determination of a suitable low‐dose abdominopelvic CT protocol using model‐based iterative reconstruction through cadaveric study. J Med Imaging Radiat Oncol., which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. en
dc.subject Abdominopelvic en
dc.subject Cadaver en
dc.subject Iterative reconstruction en
dc.subject Radiation exposure en
dc.subject Tomography, x‐ray computed en
dc.subject Tomography en
dc.title Determination of a suitable low-dose abdominopelvic CT protocol using model-based iterative reconstruction through cadaveric study. en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Owen O'Connor, Medicine , University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en 2018-04-23T16:13:58Z
dc.description.version Accepted Version en
dc.internal.rssid 434961249
dc.internal.pmid 29656596
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Medical Imaging and Radiation Oncology en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress en

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