dc.contributor.author | García Balcaza, Víctor |
dc.contributor.author | Fernández Bosman, David |
dc.contributor.author | Badal Soler, Andreu |
dc.contributor.author | Von Barnekow, Ariel |
dc.contributor.author | O'Connor, Una |
dc.contributor.author | Camp Brunés, Anna |
dc.contributor.author | Aranda López, Juan |
dc.contributor.author | Ginjaume Egido, Mercè |
dc.contributor.author | Duch Guillen, María Amor |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Nuclear i de les Radiacions Ionitzants |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica |
dc.contributor.other | Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2023-06-15T10:53:00Z |
dc.date.issued | 2023-05-24 |
dc.identifier.citation | Garcia, 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.issn | 0144-8420 |
dc.identifier.uri | http://hdl.handle.net/2117/388712 |
dc.description.abstract | PyMCGPU-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.extent | 6 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.subject.lcsh | Dosimeters |
dc.title | PyMCGPU-IR Monte Carlo code test for occupational dosimetry |
dc.type | Article |
dc.subject.lemac | Dosímetres |
dc.contributor.group | Universitat Politècnica de Catalunya. IONHE - Ionising Radiation, Health and Environment |
dc.contributor.group | Universitat Politècnica de Catalunya. TecSalut - Grup de Recerca en Tecnologies de la Salut |
dc.identifier.doi | 10.1093/rpd/ncad072 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://academic.oup.com/rpd/article-abstract/199/8-9/730/7177437 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 36634870 |
dc.description.version | Postprint (published version) |
dc.date.lift | 2024-12 |
local.citation.author | Garcia, V.; Fernandez, D.; Badal-Soler, A.; von Barnekow, A.; O'Connor, U.; Camp, A.; Aranda, J.; Ginjaume, M.; Duch, M. |
local.citation.publicationName | Radiation protection dosimetry |
local.citation.volume | 199 |
local.citation.number | 8-9 |
local.citation.startingPage | 730 |
local.citation.endingPage | 735 |