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Visual grading evaluation of commercially available metal artefact reduction techniques in hip prosthesis computed tomography
Örebro University, School of Medical Sciences. Department of Medical Physics.
Department of Medical Physics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Örebro University, School of Medical Sciences. Department of Radiology.ORCID iD: 0000-0003-3253-8967
Örebro University, School of Medical Sciences. Department of Radiology.
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2016 (English)In: British Journal of Radiology, ISSN 0007-1285, E-ISSN 1748-880X, Vol. 89, no 1063, article id 20150993Article in journal (Refereed) Published
Abstract [en]

Objectives: To evaluate metal artefact reduction (MAR) techniques from four computed tomography (CT) vendors in hip prosthesis imaging.

Methods: Bilateral hip prosthesis phantom images, obtained by using MAR algorithms for single energy CT data or dual energy CT (DECT) data and by monoenergetic reconstructions of DECT data, were visually graded by five radiologists using ten image quality criteria. Comparisons between the MAR images and a reference image were performed for each scanner separately. Ordinal probit regression analysis was used.

Results: The MAR algorithms in general improved the image quality based on the majority of the criteria (up to between 8/10 and 10/10) with a statistically improvement in overall image quality (P<0.001). However, degradation of image quality, such as new artefacts, was seen in some cases. A few monoenergetic reconstruction series improved the image quality (P<0.004) for one of the DECT scanners, but it was only improved for some of the criteria (up to 5/10). Monoenergetic reconstructions resulted in worse image quality for the majority of the criteria (up to 7/10) for the other DECT scanner.

Conclusions: The MAR algorithms improved the image quality of the hip prosthesis CT images. However, since additional artefacts and degradation of image quality were seen in some cases, all algorithms should be carefully evaluated for every clinical situation. Monoenergetic reconstructions were in general concluded to be insufficient for reducing metal artifacts. Advances in knowledge: Qualitative evaluation of the usefulness of several MAR techniques from different vendors in CT imaging of hip prosthesis.

Place, publisher, year, edition, pages
London, United Kingdom: British Institute of Radiology , 2016. Vol. 89, no 1063, article id 20150993
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
Radiology
Identifiers
URN: urn:nbn:se:oru:diva-50103DOI: 10.1259/bjr.20150993ISI: 000378096400009PubMedID: 27123700OAI: oai:DiVA.org:oru-50103DiVA, id: diva2:925863
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2018-04-27Bibliographically approved
In thesis
1. Metal artifacts in computed tomography: impact of reduction methods on image quality and radiotherapy treatment planning
Open this publication in new window or tab >>Metal artifacts in computed tomography: impact of reduction methods on image quality and radiotherapy treatment planning
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Degradation of image quality by metal artifacts is a common problem in computed tomography (CT) imaging, which can limit the diagnostic value of a CT examination and also introduce inaccuracies in radiotherapy (RT) treatment planning. In recent years, commercial metal artifact reduction (MAR) methods have been launched by several CT vendors. The overall aim of this thesis was to evaluate MAR methods in diagnostic imaging and RT treatment planning.

Evaluations of hip prosthesis phantom CT images showed that MAR algorithms in general improved image quality, based on both visual grading analysis and quantitative measures, while the application of virtual monoenergetic reconstructions insufficiently reduced metal artifacts. In some cases additional artifacts were introduced by the MAR algorithms. MAR algorithms were also evaluated in hip prosthesis phantom CT imaging used for proton therapy treatment planning, where improvements in dose calculation accuracy were observed.

Studies of Head & Neck (H&N) implant CT images in RT treatment planning were also performed. By visual grading of anatomy visualization with respect to target delineation in dental implant patient images, MAR algorithms were shown to significantly improve image quality. However, only minor effects of H&N implant artifacts on proton dose distributions were seen. The impact might be greater for more severe artifacts than those studied here, and thus further investigations of such cases are needed.

In conclusion, MAR algorithms have been shown to enhance image quality for diagnostic applications and to improve anatomy visualization in RT treatment planning. The MAR algorithms led to increased proton dose calculation accuracy in some cases, while in other situations only minor changes were seen.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2018. p. 81
Series
Örebro Studies in Medicine, ISSN 1652-4063 ; 172
Keyword
computed tomography, metal artifacts, image quality, visual grading analysis, radiotherapy, proton therapy, hip prosthesis, dental implants
National Category
Surgery
Identifiers
urn:nbn:se:oru:diva-63420 (URN)978-91-7529-228-1 (ISBN)
Public defence
2018-03-09, Örebro universitet, Campus USÖ, hörsal C3, Södra Grev Rosengatan 32, Örebro, 09:30 (Swedish)
Opponent
Supervisors
Available from: 2017-12-19 Created: 2017-12-19 Last updated: 2018-02-15Bibliographically approved

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