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Evaluation of modern camera calibration techniques for conventional diagnostic X-ray imaging settings

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Evaluation of modern camera calibration techniques for conventional diagnostic X-ray imaging settings

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dc.contributor.author Albiol Colomer, Francisco es_ES
dc.contributor.author Corbi, Alberto es_ES
dc.contributor.author Albiol Colomer, Alberto es_ES
dc.date.accessioned 2020-10-06T03:32:00Z
dc.date.available 2020-10-06T03:32:00Z
dc.date.issued 2017-03 es_ES
dc.identifier.issn 1865-0333 es_ES
dc.identifier.uri http://hdl.handle.net/10251/151163
dc.description.abstract [EN] We explore three different alternatives for obtaining intrinsic and extrinsic parameters in conventional diagnostic X-ray frameworks: the direct linear transform (DLT), the Zhang method, and the Tsai approach. We analyze and describe the computational, operational, and mathematical background differences for these algorithms when they are applied to ordinary radiograph acquisition. For our study, we developed an initial 3D calibration frame with tin cross-shaped fiducials at specific locations. The three studied methods enable the derivation of projection matrices from 3D to 2D point correlations. We propose a set of metrics to compare the efficiency of each technique. One of these metrics consists of the calculation of the detector pixel density, which can be also included as part of the quality control sequence in general X-ray settings. The results show a clear superiority of the DLT approach, both in accuracy and operational suitability. We paid special attention to the Zhang calibration method. Although this technique has been extensively implemented in the field of computer vision, it has rarely been tested in depth in common radiograph production scenarios. Zhang¿s approach can operate on much simpler and more affordable 2D calibration frames, which were also tested in our research. We experimentally confirm that even three or four plane-image correspondences achieve accurate focal lengths. es_ES
dc.description.sponsorship This work was carried out with the support of Information Storage S. L., University of Valencia (Grant #CPI-15170), CSD2007-00042 Consolider Ingenio CPAN (Grant #CPAN13TR01), Spanish Ministry of Industry, Energy and Tourism (Grant #TSI-100101-2013-019), IFIC (Severo Ochoa Centre of Excellence #SEV-2014-0398), and Dr. Bellot's medical clinic. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Radiological Physics and Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Conventional X-ray camera calibration es_ES
dc.subject Detector resolution es_ES
dc.subject Intrinsic and extrinsic parameters es_ES
dc.subject Zhang's method es_ES
dc.subject Direct linear transform es_ES
dc.subject Tsai's approach es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Evaluation of modern camera calibration techniques for conventional diagnostic X-ray imaging settings es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s12194-016-0369-y es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//SEV-2014-0398/ES/INSTITUTO DE FISICA CORPUSCULAR (IFIC)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UV//CPI-15-170/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00042/ES/Centro Nacional de Física de Partículas, Astropartículas y Nuclear/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CPAN-13TR01/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINETUR//TSI-100101-2013-0019/ES/PROYECTO PARA EL DESARROLLO DE UN DISPOSITIVO DE IMÁGEN DENSITOMÉTRIA PARA LA MEDICIÓN PRECISA DE LA DOSIS EFECTIVA./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Albiol Colomer, F.; Corbi, A.; Albiol Colomer, A. (2017). Evaluation of modern camera calibration techniques for conventional diagnostic X-ray imaging settings. Radiological Physics and Technology. 10(1):68-81. https://doi.org/10.1007/s12194-016-0369-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s12194-016-0369-y es_ES
dc.description.upvformatpinicio 68 es_ES
dc.description.upvformatpfin 81 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.identifier.pmid 27431651 es_ES
dc.relation.pasarela S\354131 es_ES
dc.contributor.funder Universitat de València es_ES
dc.contributor.funder Information Storage, S.L. es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Industria, Energía y Turismo es_ES
dc.contributor.funder Ministerio de Educación y Ciencia es_ES
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