Autor según el artículo: Cros, Maria; Joemai, Raoul M S; Joemai, Raoul M S; Geleijns, Jacob; Molina, Diego; Salvado, Marcal
Departamento: Ciències Mèdiques Bàsiques
Autor/es de la URV: Salvadó Artells, Marçal
Palabras clave: Tomography, x-ray computed Tomography scanners, x-ray computed Software Radiation dosage Phantoms, imaging Monte carlo simulation Monte carlo method Male Icrp computational adult phantoms Humans Female Dose reporting software Databases, factual Ct dosimetry Cone-beam computed tomography Adult 320 detector-row cone-beam scanner
Resumen: This study aims to develop and test software for assessing and reporting doses for standard patients undergoing computed tomography (CT) examinations in a 320 detector-row cone-beam scanner. The software, called SimDoseCT, is based on the Monte Carlo (MC) simulation code, which was developed to calculate organ doses and effective doses in ICRP anthropomorphic adult reference computational phantoms for acquisitions with the Aquilion ONE CT scanner (Toshiba). MC simulation was validated by comparing CTDI measurements within standard CT dose phantoms with results from simulation under the same conditions. SimDoseCT consists of a graphical user interface connected to a MySQL database, which contains the look-up-tables that were generated with MC simulations for volumetric acquisitions at different scan positions along the phantom using any tube voltage, bow tie filter, focal spot and nine different beam widths. Two different methods were developed to estimate organ doses and effective doses from acquisitions using other available beam widths in the scanner. A correction factor was used to estimate doses in helical acquisitions. Hence, the user can select any available protocol in the Aquilion ONE scanner for a standard adult male or female and obtain the dose results through the software interface. Agreement within 9% between CTDI measurements and simulations allowed the validation of the MC program. Additionally, the algorithm for dose reporting in SimDoseCT was validated by comparing dose results from this tool with those obtained from MC simulations for three volumetric acquisitions (head, thorax and abdomen). The comparison was repeated using eight different collimations and also for another collimation in a helical abdomen examination. The results showed differences of 0.1 mSv or less for absolute dose in most organs and also in the effective dose calculation. The software provides a suitable tool for dose assessment in standard adult patients undergoing CT examinations in a 320 detector-row cone-beam scanner.
Áreas temáticas: Saúde coletiva Radiology, nuclear medicine and imaging Radiology, nuclear medicine & medical imaging Radiological and ultrasound technology Psicología Odontología Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar General medicine Engineering, biomedical Engenharias iv Engenharias iii Engenharias ii Ciências biológicas ii Ciências biológicas i Ciência da computação Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 00319155
Direcció de correo del autor: m.salvado@urv.cat
Identificador del autor: 0000-0002-9399-6649
Fecha de alta del registro: 2024-09-28
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: http://iopscience.iop.org/article/10.1088/1361-6560/aa77ea/meta
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Physics In Medicine And Biology. 62 (15): 6304-6321
Referencia de l'ítem segons les normes APA: Cros, Maria; Joemai, Raoul M S; Joemai, Raoul M S; Geleijns, Jacob; Molina, Diego; Salvado, Marcal (2017). SimDoseCT: Dose reporting software based on Monte Carlo simulation for a 320 detector-row cone-beam CT scanner and ICRP computational adult phantoms. Physics In Medicine And Biology, 62(15), 6304-6321. DOI: 10.1088/1361-6560/aa77ea
DOI del artículo: 10.1088/1361-6560/aa77ea
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2017
Tipo de publicación: Journal Publications