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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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