Monte Carlo simulation of the movement and detection efficiency of a whole-body counting system using a BOMAB phantom

Bento, J.; Barros, S.; Teles, P.; Neves, M.; Gonçalves, I. F.; Corisco, José; Vaz, P.

doi:10.1093/rpd/ncr201

Cited by 17 publications

(9 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The WBC calibration with the BOMAB phantom and the corresponding Monte Carlo simulation using the programs MCNPX v.2.6.0 (McKinney, 2006) and PENELOPE v.2008(Salvat, 2008 have already been reported (Bento, 2012). In this previous work, the implementation of the detector movement in the MC simulations was addressed, since a whole body measurement requires a scan along the subject length.…”

Section: -Determination Of the Wbc Efficiency By Monte Carlo Simulationsmentioning

confidence: 99%

Efficiency correction factors of an ACCUSCAN whole-body counter due to the biodistribution of 134Cs, 137Cs and 60Co

Bento¹,

Barros²,

Teles³

et al. 2012

Radiation Protection Dosimetry

Self Cite

View full text Add to dashboard Cite

The efficiency calibration of whole-body counters (WBCs) for monitoring of internal contaminations is usually performed with anthropomorphic physical phantoms assuming homogeneous activity distribution. Besides the inherent limitations of these phantoms in resembling the human anatomy, they do not represent a realistic activity distribution, since in real situations each incorporated radionuclide has its particular biodistribution after entering the systemic circulation. Moreover, the activity content in the different organs and tissues comprising the biokinetics is time dependent. This work aims at assessing the whole-body counting efficiency deviations arising from considering a detailed voxel phantom instead of a standard physical phantom (BOMAB) and at evaluating the effect of the anatomical differences between both phantoms. It also aims at studying the efficiency considering the biodistribution of a set of radionuclides of interest incorporated in the scope of environmental and occupational exposures (inhalation and ingestion) and at computing the time-dependent efficiency correction factors to account for the biodistribution variation over time. For the purpose, Monte Carlo (MC) simulations were performed to simulate the whole-body counting efficiencies and biokinetic models were used to estimate the radionuclides' biokinetic behaviour in the human body after intake. The comparison between the efficiencies obtained with BOMAB and the voxel phantom showed deviations between 1.8 and 11.7 %, proving the adequacy of the BOMAB for WBC calibration. The obtained correction factors show that the effect of the biodistribution in the whole-body counting efficiency is more pronounced in cases of acute activity uptake and long-term retention in certain organs than in cases of homogeneous distribution in body tissues, for which the biokinetics influence can be neglected. This work further proves the powerful combination of MC simulation methods using voxel phantoms and biokinetic models for internal dosimetry studies.

show abstract

Section: -Determination Of the Wbc Efficiency By Monte Carlo Simulationsmentioning

confidence: 99%

Efficiency correction factors of an ACCUSCAN whole-body counter due to the biodistribution of 134Cs, 137Cs and 60Co

Bento¹,

Barros²,

Teles³

et al. 2012

Radiation Protection Dosimetry

Self Cite

View full text Add to dashboard Cite

show abstract

“…Considering that a 5-cm deviation of phantom positioning is quite realistic, this would impact the sensitivity of the WBC device by 10 -20 %. It is worth mentioning that this result is specific to a given chairphantom setting; a recent study by Krstic and Nikezic (33) has shown that a more compact setting, where the trunk and the legs of the phantoms are perpendicular, leads to a translation effect of the detector along the y-axis that is not significant, whereas Genicot et al (32) reported a 1 % decrease per centimetre along the y-axis when the phantom is in a bed (lying) position but only 0.5 % per centimetre in a tilted chair position, and a 1.3 % decrease in the counting efficiency per centimetre along the x-axis. The decrease of the counting efficiency along the zaxis reported by these authors is 2.4 % per centimetre.…”

Section: Discussionmentioning

confidence: 79%

“…Mathematical phantoms allow for a wide range of investigations and sensitivity analysis on the various WBC settings, by means of Monte Carlo (MC) calculations. Various MC computer codes have been used so far: 'FLUktuierende KAskade' (FLUKA) (25) , 'Monte Carlo N-Particle' (MCNP) (26 -33) , 'Electron Gamma Shower' (EGS) (5,6,34,35) , 'PENetration and Energy LOss of Positrons and Electrons' (PENELOPE) (32) , 'GEometry ANd Tracking' (GEANT) (36) or local codes developed ad hoc (37) . MC calculation has been used to compare different mathematical phantoms used in WBCs (10,26,27,29,31,35,38) or to compare the measurements obtained with a physical phantom with the results obtained by a simulated version of this phantom (5,6,30,35,37) .…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo simulation of a whole-body counter using IGOR phantoms

Bochud

Laedermann

Baechler

et al. 2013

Radiation Protection Dosimetry

View full text Add to dashboard Cite

Whole-body counting is a technique of choice for assessing the intake of gamma-emitting radionuclides. An appropriate calibration is necessary, which is done either by experimental measurement or by Monte Carlo (MC) calculation. The aim of this work was to validate a MC model for calibrating whole-body counters (WBCs) by comparing the results of computations with measurements performed on an anthropomorphic phantom and to investigate the effect of a change in phantom's position on the WBC counting sensitivity. GEANT MC code was used for the calculations, and an IGOR phantom loaded with several types of radionuclides was used for the experimental measurements. The results show a reasonable agreement between measurements and MC computation. A 1-cm error in phantom positioning changes the activity estimation by >2 %. Considering that a 5-cm deviation of the positioning of the phantom may occur in a realistic counting scenario, this implies that the uncertainty of the activity measured by a WBC is ∼10-20 %.

show abstract

“…For radiation dosimetry studies, Xu [1] also summarized other stylized phantoms, including an embryo phantom and a fetus phantom [27], a Korean adult phantom [28], a Japanese 9-month-old phantom [29], a Chinese mathematical phantom (CMP) [30], a standard Korean male phantom [31], a new mathematical model to simulate the reference male bottle mannikin absorber (BOMAB) phantom [32,33], and a converted MIRD-type mathematical phantom in NURBS (non-uniform rational B-splines)/voxels [34].…”

Section: Jrprmentioning

confidence: 99%

A Review of Computational Phantoms for Quality Assurance in Radiology and Radiotherapy in the Deep-Learning Era

Zhao

Gao

et al. 2022

J Radiat Prot Res

View full text Add to dashboard Cite

The exciting advancement related to the “modeling of digital human” in terms of a computational phantom for radiation dose calculations has to do with the latest hype related to deep learning. The advent of deep learning or artificial intelligence (AI) technology involving convolutional neural networks has brought an unprecedented level of innovation to the field of organ segmentation. In addition, graphics processing units (GPUs) are utilized as boosters for both real-time Monte Carlo simulations and AI-based image segmentation applications. These advancements provide the feasibility of creating three-dimensional (3D) geometric details of the human anatomy from tomographic imaging and performing Monte Carlo radiation transport simulations using increasingly fast and inexpensive computers. This review first introduces the history of three types of computational human phantoms: stylized medical internal radiation dosimetry (MIRD) phantoms, voxelized tomographic phantoms, and boundary representation (BREP) deformable phantoms. Then, the development of a person-specific phantom is demonstrated by introducing AI-based organ autosegmentation technology. Next, a new development in GPU-based Monte Carlo radiation dose calculations is introduced. Examples of applying computational phantoms and a new Monte Carlo code named ARCHER (Accelerated Radiation- transport Computations in Heterogeneous EnviRonments) to problems in radiation protection, imaging, and radiotherapy are presented from research projects performed by students at the Rensselaer Polytechnic Institute (RPI) and University of Science and Technology of China (USTC). Finally, this review discusses challenges and future research opportunities. We found that, owing to the latest computer hardware and AI technology, computational human body models are moving closer to real human anatomy structures for accurate radiation dose calculations.

show abstract

Monte Carlo simulation of the movement and detection efficiency of a whole-body counting system using a BOMAB phantom

Cited by 17 publications

References 12 publications

Efficiency correction factors of an ACCUSCAN whole-body counter due to the biodistribution of 134Cs, 137Cs and 60Co

Efficiency correction factors of an ACCUSCAN whole-body counter due to the biodistribution of 134Cs, 137Cs and 60Co

Monte Carlo simulation of a whole-body counter using IGOR phantoms

A Review of Computational Phantoms for Quality Assurance in Radiology and Radiotherapy in the Deep-Learning Era

Contact Info

Product

Resources

About