Dose estimate for cone beam CT equipment protocols using Monte Carlo simulation in computational adult anthropomorphic phantoms

Soares, Maria Rosangela; Santos, William S.; Neves, Lucio Pereira; Perini, Ana Paula; Batista, Wilson Otto; Belinato, Walmir; Maia, Ana F.; Caldas, Linda V.E.

doi:10.1016/j.radphyschem.2018.06.038

Cited by 10 publications

(4 citation statements)

References 23 publications

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“…Thus, the effective doses of scanned organs could be calculated precisely. The considerable advantages such as reducing the uncertainties caused by type, location, and the limited number of the dosimeters, make the MC simulation to be a very useful tool in radiation dose calculation [13,15,16].…”

Section: Jinst 16 P10011mentioning

confidence: 99%

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Patient-specific dose assessment using CBCT images and Monte Carlo calculations

et al. 2021

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Today, the use of Cone-Beam Computed Tomography (CBCT) is increasing rapidly in medical diagnosis, therefore evaluation of patient's dose is a very important issue in radiation protection of patients. This study aimed to evaluate the patient-specific dose using CBCT images. Since CBCT images only showed a part of the head and while, the total anatomical specification of the head should be defined for dose assessment, therefore the whole parts of the head were generated using the data of the Extended Cardiac-Torso (XCAT) reference phantoms and pseudo-images were created. Tissue densities were calculated by the voxel values of pseudo-images and were used as the input file of Gate8.2 Monte Carlo (MC) code. Also, the GIANO CBCT unit was simulated and the absorbed dose was calculated by the code. For verification of this method, Rando phantom with embedded thermoluminescence dosimeters (TLD) with different protocols was used. The results of MC calculations and TLD measurements were compared and statistical analysis was performed using IBM SPSS Statistics. The calculated effective dose values determined by CBCT images for three different Temporomandibular joint, Single-Arch, and Both-Arch protocols were found to be 87 ± 3 μSv, 64 ± 1 μSv, and 66 ± 2 μSv, and the results of thermoluminescence dosimetry were 86 ± 2 μSv, 57 ± 1 μSv, and 63 ± 3 μSv, respectively. There were no significant differences (P-Value>0.05) between the results of MC calculations using CBCT images and the results of TLD dosimeters. In this study, a method for patient-specific dose assessment using CBCT images was introduced. It was shown that the dose of patients with its specification can be evaluated by CBCT images with acceptable accuracy.

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Section: Jinst 16 P10011mentioning

confidence: 99%

“…Nowadays, The SEDENTEXCT guidelines strongly recommend the use of the Monte Carlo (MC) simulation in virtual phantoms for the evaluation of the effective doses in CBCT examinations [6]. Many researchers estimate effective doses in dental CBCT scanners using MC simulation [1,9,13,[15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Patient-specific dose assessment using CBCT images and Monte Carlo calculations

et al. 2021

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“…Considering particle interaction, this method follows every single particle emitted from a source to its death (absorption, escape, etc.). MC techniques are employed to accurately simulate the doses from radiation transport through matter [6]. In addition to simulation, MC allows geometrical modelling of macrobodies.…”

Section: Introductionmentioning

confidence: 99%

Structural Shielding Design of CT Facility using Monte Carlo Simulation

Yadav

Huillcara

Ramírez

et al. 2021

J. Nucl. Phy. Mat. Sci. Rad. A.

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Radiation application in medicine offers extraordinary benefits. But radiation is like a double-edged sword, it has both benefits and associated risks on the community in contact. To justify the safety of workers and members of the public, regulated use of radiation is assessed by the radiation protection protocols. The aim of this study is to design a Computed Tomography (CT) facility with a simplified model of CT scanner, whose shielding follows the guidelines of National Council on Radiation Protection and Measurements (NCRP) Report No. 147. To design the study model, Monte Carlo (MC) radiation transport code in MCNPX 2.6.0 was used for the simulation. Furthermore, MCNPX was used to measure the photon flux in a vicinity or the detector cell. To validate the functioning of the X-ray tube, the experimental results were compared with the X-ray Transition Energies Database of National Institute of Standards and Technology, U.S. Department of Commerce. The results obtained were within 0.60% of relative error. To confirm the functioning of shielding design, radiation protection quantity, air kerma was measured at several points outside, and inside of the CT room and they were under the radiation dose recommended by NCRP, which demonstrates that the shielding design wassuccessful in blocking the radiation. The study can be used for an easy evaluation of any CT room within the framework of the model of the study.

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“…Cientistas e pesquisadores preocupados em otimizar as doses recebidas pelos pacientes e os profissionais durante um exame diagnóstico ou em um procedimento de radiologia intervencionista, realizam pesquisas dosimétricas voltadas para a qualidade dos exames e minimização da exposição à radiação ionizante. Dentre esses estudos (SANTOS et al, 2018;SOARES et al, 2018;NEVES et al, 2019) foi utilizado como uma ferramenta matemática e estatística a simulação Monte Carlo, criado nos anos 1940, no desenvolvimento do Projeto Manhattan.…”

Section: Estudo Dosimétrico: Monte Carlo E Objetos Simuladoresunclassified

Avaliação computacional das doses médicas e ocupacionais durante diagnóstico de COVID-19 em pacientes pediátricos empregando tomografia computadorizada

Silva¹

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Dose estimate for cone beam CT equipment protocols using Monte Carlo simulation in computational adult anthropomorphic phantoms

Cited by 10 publications

References 23 publications

Patient-specific dose assessment using CBCT images and Monte Carlo calculations

Patient-specific dose assessment using CBCT images and Monte Carlo calculations

Structural Shielding Design of CT Facility using Monte Carlo Simulation

Avaliação computacional das doses médicas e ocupacionais durante diagnóstico de COVID-19 em pacientes pediátricos empregando tomografia computadorizada

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