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Metal artefact reduction in CT imaging of hip prostheses-an evaluation of commercial techniques provided by four vendors
Örebro University, School of Medical Sciences.
Department of Medical Physics, Karolinska University Hospital, Stockholm, Sweden.
Örebro University, School of Health and Medical Sciences, Örebro University, Sweden. Department of Medical Physics, Faculty of Health and Medical Sciences, Örebro University, Örebro, Sweden.
Department of Medical Physics, Örebro University Hospital, Örebro, Sweden.ORCID iD: 0000-0002-8351-3367
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2015 (English)In: British Journal of Radiology, ISSN 0007-1285, E-ISSN 1748-880X, Vol. 88, no 1052, article id 20140473Article in journal (Refereed) Published
Abstract [en]

Objective: The aim of this study was to evaluate commercial metal artefact reduction (MAR) techniques in X-ray CT imaging of hip prostheses.

Methods: Monoenergetic reconstructions of dual-energy CT (DECT) data and several different MAR algorithms, combined with single-energy CT or DECT, were evaluated by imaging a bilateral hip prosthesis phantom. The MAR images were compared with uncorrected images based on CT number accuracy and noise in different regions of interest.

Results: The three MAR algorithms studied implied a general noise reduction (up to 67%, 74% and 77%) and an improvement in CT number accuracy, both in regions close to the prostheses and between the two prostheses. The application of monoenergetic reconstruction, without any MAR algorithm, did not decrease the noise in the regions close to the prostheses to the same extent as did the MAR algorithms and even increased the noise in the region between the prostheses.

Conclusion: The MAR algorithms evaluated generally improved CT number accuracy and substantially reduced the noise in the hip prostheses phantom images, both close to the prostheses and between the two prostheses. The study showed that the monoenergetic reconstructions evaluated did not sufficiently reduce the severe metal artefact caused by large orthopaedic implants.

Advances in knowledge: This study evaluates several commercially available MAR techniques in CT imaging of large orthopaedic implants.

Place, publisher, year, edition, pages
British Institute of Radiology , 2015. Vol. 88, no 1052, article id 20140473
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
Radiology
Identifiers
URN: urn:nbn:se:oru:diva-46510DOI: 10.1259/bjr.20140473ISI: 000363313000002PubMedID: 26110201Scopus ID: 2-s2.0-84938837932OAI: oai:DiVA.org:oru-46510DiVA, id: diva2:871972
Available from: 2015-11-17 Created: 2015-11-16 Last updated: 2018-09-04Bibliographically 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
Keywords
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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Andersson, Karin M.Persliden, JanThunberg, PerNorrman, Eva

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