Measuring geometric accuracy in magnetic resonance imaging with 3D-printed phantom and nonrigid image registration

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dc.contributor University of Helsinki, Department of Diagnostics and Therapeutics en
dc.contributor University of Helsinki, HUS Medical Imaging Center en
dc.contributor.author Nousiainen, Katri
dc.contributor.author Mäkelä, Teemu
dc.date.accessioned 2020-06-15T07:08:01Z
dc.date.available 2020-06-15T07:08:01Z
dc.date.issued 2020-06
dc.identifier.citation Nousiainen , K & Mäkelä , T 2020 , ' Measuring geometric accuracy in magnetic resonance imaging with 3D-printed phantom and nonrigid image registration ' , Magnetic Resonance Materials in Physics, Biology and Medicine. , vol. 33 , no. 3 , pp. 401-410 . https://doi.org/10.1007/s10334-019-00788-6 en
dc.identifier.issn 0968-5243
dc.identifier.other PURE: 128041920
dc.identifier.other PURE UUID: d7faffb0-576c-4538-9fdf-51b50c980f19
dc.identifier.other WOS: 000492179800001
dc.identifier.other ORCID: /0000-0002-1283-5596/work/75946952
dc.identifier.uri http://hdl.handle.net/10138/316151
dc.description.abstract Objective We aimed to develop a vendor-neutral and interaction-free quality assurance protocol for measuring geometric accuracy of head and brain magnetic resonance (MR) images. We investigated the usability of nonrigid image registration in the analysis and looked for the optimal registration parameters. Materials and methods We constructed a 3D-printed phantom and imaged it with 12 MR scanners using clinical sequences. We registered a geometric-ground-truth computed tomography (CT) acquisition to the MR images using an open-source nonrigid-registration-toolbox with varying parameters. We applied the transforms to a set of control points in the CT image and compared their locations to the corresponding visually verified reference points in the MR images. Results With optimized registration parameters, the mean difference (and standard deviation) of control point locations when compared to the reference method was (0.17 +/- 0.02) mm for the 12 studied scanners. The maximum displacements varied from 0.50 to 1.35 mm or 0.89 to 2.30 mm, with vendors' distortion correction on or off, respectively. Discussion Using nonrigid CT-MR registration can provide a robust and relatively test-object-agnostic method for estimating the intra- and inter-scanner variations of the geometric distortions. en
dc.format.extent 10
dc.language.iso eng
dc.relation.ispartof Magnetic Resonance Materials in Physics, Biology and Medicine.
dc.relation.uri https://rdcu.be/bWzLV
dc.rights en
dc.subject Magnetic resonance imaging en
dc.subject Artifacts en
dc.subject Quality control en
dc.subject Healthcare quality assurance en
dc.subject MR-IMAGES en
dc.subject DISTORTION CORRECTION en
dc.subject 3126 Surgery, anesthesiology, intensive care, radiology en
dc.title Measuring geometric accuracy in magnetic resonance imaging with 3D-printed phantom and nonrigid image registration en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1007/s10334-019-00788-6
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/publishedVersion
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