Intensity-Based Nonoverlapping Area Registration Supporting "drop-Outs" in Terms of Model-Based Radiostereometric Analysis

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dc.contributor.authorKlíma, Ondřejcs
dc.contributor.authorNovobilský, Petrcs
dc.contributor.authorMadeja, Romancs
dc.contributor.authorBařina, Davidcs
dc.contributor.authorChromý, Adamcs
dc.contributor.authorŠpaněl, Michalcs
dc.contributor.authorZemčík, Pavelcs
dc.coverage.issue1cs
dc.coverage.volume2018cs
dc.date.issued2018-03-28cs
dc.description.abstractA model-based radiostereometric analysis (MBRSA) is a method for precisemeasurement of prosthesis migration, which does not require marking the implantwith tantalum beads. Instead, the prosthesis pose is typically recoveredusing a feature-based 2D-3D registration of its virtual model into a stereo pairof radiographs. In this study, we evaluate a novel intensity-based formulation ofpreviously published non-overlapping area (NOA) approach. The registrationis capable to perform with both binary radiographic segmentations or non segmentedX-ray images. In contrast with the feature-based version, it is capableto deal with unreliable parts of prosthesis. As the straightforward formulationallows efficient acceleration using modern graphics adapters, it is possible toinvolve precise high-poly virtual models. Moreover, in case of binary segmentations,the non-overlapping area is simply interpretable, useful for indicating theaccuracy of the registration outcome. In silico and phantom evaluations wereperformed using a cementless Zweymüller femoral stem and its reverse engineered(RE) model. For initial pose estimates with difference from the ground-truth limited to 4 mm and 4° respectively, the mean absolute translationalerror was not higher than 0.042+-0.035 mm. The error in rotation around theproximodistal axis was 0.181+-0.265°, error for remaining axes was not higherthan 0.035+-0.037°.en
dc.description.abstractA model-based radiostereometric analysis (MBRSA) is a method for precisemeasurement of prosthesis migration, which does not require marking the implantwith tantalum beads. Instead, the prosthesis pose is typically recoveredusing a feature-based 2D-3D registration of its virtual model into a stereo pairof radiographs. In this study, we evaluate a novel intensity-based formulation ofpreviously published non-overlapping area (NOA) approach. The registrationis capable to perform with both binary radiographic segmentations or non segmentedX-ray images. In contrast with the feature-based version, it is capableto deal with unreliable parts of prosthesis. As the straightforward formulationallows efficient acceleration using modern graphics adapters, it is possible toinvolve precise high-poly virtual models. Moreover, in case of binary segmentations,the non-overlapping area is simply interpretable, useful for indicating theaccuracy of the registration outcome. In silico and phantom evaluations wereperformed using a cementless Zweymüller femoral stem and its reverse engineered(RE) model. For initial pose estimates with difference from the ground-truth limited to 4 mm and 4° respectively, the mean absolute translationalerror was not higher than 0.042+-0.035 mm. The error in rotation around theproximodistal axis was 0.181+-0.265°, error for remaining axes was not higherthan 0.035+-0.037°.en
dc.formattextcs
dc.format.extent1-10cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationmulti science- Journal of Healthcare Engineering. 2018, vol. 2018, issue 1, p. 1-10.en
dc.identifier.doi10.1155/2018/8538125cs
dc.identifier.issn2040-2295cs
dc.identifier.orcid0000-0001-9295-065Xcs
dc.identifier.orcid0000-0003-0917-5512cs
dc.identifier.orcid0000-0002-8184-2255cs
dc.identifier.orcid0000-0003-0193-684Xcs
dc.identifier.orcid0000-0001-7969-5877cs
dc.identifier.other147195cs
dc.identifier.researcheridI-4030-2018cs
dc.identifier.researcheridA-9035-2015cs
dc.identifier.researcheridB-3136-2014cs
dc.identifier.researcheridG-9639-2016cs
dc.identifier.researcheridG-6439-2010cs
dc.identifier.scopus57193340483cs
dc.identifier.scopus55973177900cs
dc.identifier.scopus55906563300cs
dc.identifier.scopus22836945200cs
dc.identifier.scopus6507084407cs
dc.identifier.urihttp://hdl.handle.net/11012/72414
dc.language.isoencs
dc.relation.ispartofmulti science- Journal of Healthcare Engineeringcs
dc.relation.urihttps://www.fit.vut.cz/research/publication/11688/cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2040-2295/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectRadiostereometric analysisen
dc.subjectimplant migrationen
dc.subjectpose estimationen
dc.subjectintesity-based registrationen
dc.subjectOpenGL accelerationen
dc.subjectRadiostereometric analysis
dc.subjectimplant migration
dc.subjectpose estimation
dc.subjectintesity-based registration
dc.subjectOpenGL acceleration
dc.titleIntensity-Based Nonoverlapping Area Registration Supporting "drop-Outs" in Terms of Model-Based Radiostereometric Analysisen
dc.title.alternativeIntensity-Based Nonoverlapping Area Registration Supporting "drop-Outs" in Terms of Model-Based Radiostereometric Analysisen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-147195en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:13:23en
sync.item.modts2025.10.14 09:49:18en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
thesis.grantorVysoké učení technické v Brně. Fakulta informačních technologií. Ústav počítačové grafiky a multimédiícs
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