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dc.contributor.authorGarcía Balcaza, Víctor
dc.contributor.authorFernández Bosman, David
dc.contributor.authorBadal Soler, Andreu
dc.contributor.authorVon Barnekow, Ariel
dc.contributor.authorO'Connor, Una
dc.contributor.authorCamp Brunés, Anna
dc.contributor.authorAranda López, Juan
dc.contributor.authorGinjaume Egido, Mercè
dc.contributor.authorDuch Guillen, María Amor
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Nuclear i de les Radiacions Ionitzants
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica
dc.contributor.otherUniversitat Politècnica de Catalunya. Institut de Tècniques Energètiques
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2023-06-15T10:53:00Z
dc.date.issued2023-05-24
dc.identifier.citationGarcia, V. [et al.]. PyMCGPU-IR Monte Carlo code test for occupational dosimetry. "Radiation protection dosimetry", 24 Maig 2023, vol. 199, núm. 8-9, p. 730-735.
dc.identifier.issn0144-8420
dc.identifier.urihttp://hdl.handle.net/2117/388712
dc.description.abstractPyMCGPU-IR is an innovative occupational dose monitoring tool for interventional radiology procedures. It reads the radiation data from the Radiation Dose Structured Report of the procedure and combines this information with the position of the monitored worker recorded using a 3D camera system. This information is used as an input file for the fast Monte Carlo radiation transport code MCGPU-IR in order to assess the organ doses, Hp(10) and Hp(0.07), as well as the effective dose. In this study, Hp(10) measurements of the first operator during an endovascular aortic aneurysm repair procedure and a coronary angiography using a ceiling suspended shield are compared to PyMCGPU-IR calculations. Differences in the two reported examples are found to be within 15%, which is considered as being very satisfactory. The study highlights the promising advantages of PyMCGPU-IR, although there are still several improvements that need to be implemented before its final clinical use.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshDosimeters
dc.titlePyMCGPU-IR Monte Carlo code test for occupational dosimetry
dc.typeArticle
dc.subject.lemacDosímetres
dc.contributor.groupUniversitat Politècnica de Catalunya. IONHE - Ionising Radiation, Health and Environment
dc.contributor.groupUniversitat Politècnica de Catalunya. TecSalut - Grup de Recerca en Tecnologies de la Salut
dc.identifier.doi10.1093/rpd/ncad072
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://academic.oup.com/rpd/article-abstract/199/8-9/730/7177437
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac36634870
dc.description.versionPostprint (published version)
dc.date.lift2024-12
local.citation.authorGarcia, V.; Fernandez, D.; Badal-Soler, A.; von Barnekow, A.; O'Connor, U.; Camp, A.; Aranda, J.; Ginjaume, M.; Duch, M.
local.citation.publicationNameRadiation protection dosimetry
local.citation.volume199
local.citation.number8-9
local.citation.startingPage730
local.citation.endingPage735


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