Physical models, cross sections, and numerical approximations used in<scp>MCNP</scp>and<scp>GEANT4</scp>Monte Carlo codes for photon and electron absorbed fraction calculation

Yoriyaz, Hélio; Moralles, M.; Siqueira, Paulo T.D.; Guimarães, Carla da Costa; Cintra, Felipe B.; Santos, Adimir dos

doi:10.1118/1.3242304

Cited by 17 publications

(8 citation statements)

References 25 publications

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“…Although GEANT4 is an almost validated code (8,17,22,31,41), but it is itself a new code and less experienced compared to older code like MCNP and not properly validated for internal dosimetry. GATE/ GENAT is partially validated for imaging applications (2,10,21,36) and has been used for dosimetry applications (28,38,39) but not validated for nuclear medicine dosimetry.…”

mentioning

confidence: 99%

A comparison between GATE4 results and MCNP4B published data for internal radiation dosimetry

Parach¹,

Rajabi²

2011

Nuklearmedizin

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mentioning

confidence: 99%

A comparison between GATE4 results and MCNP4B published data for internal radiation dosimetry

Parach¹,

Rajabi²

2011

Nuklearmedizin

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“…Yoriyaz et al investigated how different material compositions could affect photon and electron SAF calculations. 62 SAFs varied by up to *6% for electrons and 15.8% for photons when using the tissueequivalent composition defined by the MIRD Pamphlet No. 3 63,64 and with those from ICRU 44.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of RAPID: A Patient-Specific Monte Carlo Three-Dimensional Internal Dosimetry Platform

Besemer

Yang

Grudzinski

et al. 2018

Cancer Biotherapy and Radiopharmaceuticals

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This work describes the development and validation of a patient-specific Monte Carlo internal dosimetry platform called RAPID (Radiopharmaceutical Assessment Platform for Internal Dosimetry). RAPID utilizes serial PET/CT or SPECT/CT images to calculate voxelized three-dimensional (3D) internal dose distributions with the Monte Carlo code Geant4. RAPID's dosimetry calculations were benchmarked against previously published S-values and specific absorbed fractions (SAFs) calculated for monoenergetic photon and electron sources within the Zubal phantom and for S-values calculated for a variety of radionuclides within spherical tumor phantoms with sizes ranging from 1 to 1000 g. The majority of the S-values and SAFs calculated in the Zubal Phantom were within 5% of the previously published values with the exception of a few 10 keV photon SAFs that agreed within 10%, and one value within 16%. The S-values calculated in the spherical tumor phantoms agreed within 2% for Lu,I, I,F, and Cu, within 3.5% forAt and Bi, within 6.5% forSm, In,Zr, and Ra, and within 9% forY, Ga, andI. In conclusion, RAPID is capable of calculating accurate internal dosimetry at the voxel-level for a wide variety of radionuclides and could be a useful tool for calculating patient-specific 3D dose distributions.

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“…2(a) and 2(b) for 20 and 30keV incident X-ray photons after transmitting through a 1µm PbTe PAL, respectively. These figures do not show the energy range of 0-1keV since there is a default artificial photon energy cutoff around 1keV in our MCNP simulation and important effects for scattering leading to lower energies are not yet included in MCNP6.2 photon transport methods, resulting in photon energies below the cutoff to not be calculated [29,30]. This cutoff tends to underestimate the photon absorption in Si because the mass attenuation coefficients of Si decreases with photon energy, as shown in Figs.…”

Section: (B)mentioning

confidence: 99%

Monte Carlo Modeling and Design of Photon Energy Attenuation Layers for >10× Quantum Yield Enhancement in Si-Based Hard X-ray Detectors

et al. 2021

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High-energy (>20 keV) X-ray photon detection at high quantum yield, high spatial resolution, and short response time has long been an important area of study in physics. Scintillation is a prevalent method but limited in various ways. Directly detecting high-energy X-ray photons has been a challenge to this day, mainly due to low photon-to-photoelectron conversion efficiencies. Commercially available state-of-the-art Si direct detection products such as the Si charge-coupled device (CCD) are inefficient for >10 keV photons. Here, we present Monte Carlo simulation results and analyses to introduce a highly effective yet simple high-energy X-ray detection concept with significantly enhanced photon-to-electron conversion efficiencies composed of two layers: a top high-Z photon energy attenuation layer (PAL) and a bottom Si detector. We use the principle of photon energy down conversion, where high-energy X-ray photon energies are attenuated down to ≤10 keV via inelastic scattering suitable for efficient photoelectric absorption by Si. Our Monte Carlo simulation results demonstrate that a 10–30× increase in quantum yield can be achieved using PbTe PAL on Si, potentially advancing high-resolution, high-efficiency X-ray detection using PAL-enhanced Si CMOS image sensors.

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Physical models, cross sections, and numerical approximations used inMCNPandGEANT4Monte Carlo codes for photon and electron absorbed fraction calculation

Abstract: Even for simple problems as spheres and uniform radiation sources, the set of parameters chosen by any Monte Carlo code significantly affects the final results of a simulation, demonstrating the importance of the correct choice of parameters in the simulation.

Cited by 17 publications

References 25 publications

A comparison between GATE4 results and MCNP4B published data for internal radiation dosimetry

A comparison between GATE4 results and MCNP4B published data for internal radiation dosimetry

Development and Validation of RAPID: A Patient-Specific Monte Carlo Three-Dimensional Internal Dosimetry Platform

Monte Carlo Modeling and Design of Photon Energy Attenuation Layers for >10× Quantum Yield Enhancement in Si-Based Hard X-ray Detectors

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