Automated daily quality control analysis for mammography in a multi-unit imaging center

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dc.contributor University of Helsinki, Department of Physics en
dc.contributor University of Helsinki, Department of Diagnostics and Therapeutics en
dc.contributor University of Helsinki, Department of Mathematics and Statistics en
dc.contributor University of Helsinki, Department of Diagnostics and Therapeutics en
dc.contributor University of Helsinki, Department of Physics en
dc.contributor.author Sundell, Veli-Matti
dc.contributor.author Mäkelä, Teemu
dc.contributor.author Meaney, Alexander
dc.contributor.author Kaasalainen, Touko
dc.contributor.author Savolainen, Sauli
dc.date.accessioned 2020-01-22T08:44:02Z
dc.date.available 2020-01-22T08:44:02Z
dc.date.issued 2019-02
dc.identifier.citation Sundell , V-M , Mäkelä , T , Meaney , A , Kaasalainen , T & Savolainen , S 2019 , ' Automated daily quality control analysis for mammography in a multi-unit imaging center ' , Acta Radiologica , vol. 60 , no. 2 , pp. 140-148 . https://doi.org/10.1177/0284185118776502 en
dc.identifier.issn 0284-1851
dc.identifier.other PURE: 123435200
dc.identifier.other PURE UUID: e70bf15e-5530-4ec3-8d88-31870a469b2a
dc.identifier.other WOS: 000459621200004
dc.identifier.other Scopus: 85047426773
dc.identifier.other ORCID: /0000-0002-2093-0868/work/55617324
dc.identifier.other ORCID: /0000-0002-5391-2666/work/55618211
dc.identifier.other ORCID: /0000-0001-8085-322X/work/55619380
dc.identifier.uri http://hdl.handle.net/10138/310064
dc.description.abstract Background: The high requirements for mammography image quality necessitate a systematic quality assurance process. Digital imaging allows automation of the image quality analysis, which can potentially improve repeatability and objectivity compared to a visual evaluation made by the users. Purpose: To develop an automatic image quality analysis software for daily mammography quality control in a multi-unit imaging center. Material and Methods: An automated image quality analysis software using the discrete wavelet transform and multi-resolution analysis was developed for the American College of Radiology accreditation phantom. The software was validated by analyzing 60 randomly selected phantom images from six mammography systems and 20 phantom images with different dose levels from one mammography system. The results were compared to a visual analysis made by four reviewers. Additionally, long-term image quality trends of a full-field digital mammography system and a computed radiography mammography system were investigated. Results: The automated software produced feature detection levels comparable to visual analysis. The agreement was good in the case of fibers, while the software detected somewhat more microcalcifications and characteristic masses. Long-term follow-up via a quality assurance web portal demonstrated the feasibility of using the software for monitoring the performance of mammography systems in a multi-unit imaging center. Conclusion: Automated image quality analysis enables monitoring the performance of digital mammography systems in an efficient, centralized manner. en
dc.format.extent 9
dc.language.iso eng
dc.relation.ispartof Acta Radiologica
dc.rights en
dc.subject Mammography en
dc.subject quality assurance en
dc.subject image quality en
dc.subject ACR phantom en
dc.subject ACCREDITATION PHANTOM en
dc.subject PERFORMANCE en
dc.subject 114 Physical sciences en
dc.subject 3126 Surgery, anesthesiology, intensive care, radiology en
dc.title Automated daily quality control analysis for mammography in a multi-unit imaging center en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1177/0284185118776502
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/acceptedVersion
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