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Registration-by-regression of coronary CTA and X-ray angiography

2015-06Journal article Restricted access
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dc.contributor.authorGouveia, Ana Rodrigues
dc.contributor.authorMetz, Coert
dc.contributor.authorFreire, Luís
dc.contributor.authorAlmeida, Pedro
dc.contributor.authorKlein, Stefan
dc.date.accessioned2017-08-21T09:20:30Z
dc.date.available2017-08-21T09:20:30Z
dc.date.issued2015-06
dc.description.abstractWe evaluate the integration of 3D preoperative computed tomography angiography of the coronary arteries with intraoperative 2D X-ray angiographies by a recently proposed novel registration-by-regression method. The method relates image features of 2D projection images to the transformation parameters of the 3D image. We compared different sets of features and studied the influence of preprocessing the training set. For the registration evaluation, a gold standard was developed from eight X-ray angiography sequences from six different patients. The alignment quality was measured using the 3D mean target registration error (mTRE). The registration-by-regression method achieved moderate accuracy (median mTRE of 15 mm) on real images. It does therefore not provide yet a complete solution to the 3D–2D registration problem but it could be used as an initialisation method to eliminate the need for manual initialisation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGouveia AR, Metz C, Freire L, Almeida P, Klein S. Registration-by-regression of coronary CTA and X-ray angiography. Comp Methods Biomech Biomed Eng Imaging Visualization. 2017;5(3):208-20.pt_PT
dc.identifier.doi10.1080/21681163.2015.1054520pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/7329
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttp://www.tandfonline.com/doi/full/10.1080/21681163.2015.1054520?needAccess=truept_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAngiographypt_PT
dc.subject3D/2D image registrationpt_PT
dc.subjectImage guided interventionspt_PT
dc.subjectCoronary arteriespt_PT
dc.subjectRegressionpt_PT
dc.subjectNeural networkspt_PT
dc.titleRegistration-by-regression of coronary CTA and X-ray angiographypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage220pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage208pt_PT
oaire.citation.titleComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualizationpt_PT
oaire.citation.volume5pt_PT
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT

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