Mesh-free semi-quantitative variance underestimation elimination method in Monte Caro algorithm

Shen, Pengfei; Huo, Xiaodong; Li, Zeguang; Shao, Zeng; Ye, Haifeng; Zhang, Peng; Wang, Kan

doi:10.1007/s41365-022-01156-1

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…The Monte Carlo algorithm in the TPS system can simulate particle collision trajectories and the energy distribution in a three-dimensional space, which presents a significantly high computational accuracy and can accurately calculate the dose delivered to the equivalent tissue material. Knowing that the values calculated by the TPS system are correct, the accurate delivery of the radiation dose to the intended area is the main issue [5][6][7]. Traditional 3D conformal radiotherapy techniques and general radiotherapy are unable to control the amount of radiation received to the organ at risk.…”

Section: Introductionmentioning

confidence: 99%

TLD calibration and absorbed dose measurement in a radiation-induced liver injury model under a linear accelerator

Xiao

Liu

et al. 2023

NUCL SCI TECH

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The application of a thermoluminescent detector (TLD) for dose detection at the liver irradiation site in mice under linear accelerator precision radiotherapy and the use of a single high dose to irradiate the mouse liver to construct a biological model of a radiation-induced liver injury (RILD) in mice were to determine the feasibility of constructing a precision radiotherapy model in small animals under a linear accelerator. A 360° arc volumetric rotational intensity-modulated radiotherapy (VMAT) plan with a prescribed dose of 2 Gy was developed for the planned target volume (PTV) at the location of the TLD within solid water to compare the difference between the measured dose of TLD and the assessed parameters in the TPS system. The TLD was implanted in the livers of mice, and VMAT was planned based on TLD to compare the measured and prescribed doses. C57BL/6 J mice were randomly divided into control and 25-Gy radiation groups and were examined daily for changes in body weight. They were euthanized at 3 and 10 weeks after radiation, and the levels of liver serum enzymes such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP) were measured to observe any pathological histological changes in the irradiated areas of the mouse liver. The measured values of solid underwater TLD were within ± 3% of the Dmean value of the evaluation parameter in the TPS system. The mice in the 25-Gy radiation group demonstrated pathological signs of radiation-induced liver injury at the site of liver irradiation. The deviation in the measured and prescribed doses of TLD in the mouse liver ranged from − 1.5 to 6%; construction of an accurate model of RILD using the VMAT technique under a linear accelerator is feasible.

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Section: Introductionmentioning

confidence: 99%

TLD calibration and absorbed dose measurement in a radiation-induced liver injury model under a linear accelerator

Xiao

Liu

et al. 2023

NUCL SCI TECH

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“…4 . In the calculation of the lattice, the fuel rod pincell, the guide tube pincell, the burnable absorber pincell and the instrumentation guide tube pincell were filled at different locations according to each assembly, and their specific geometric material structures were shown in the reference 15 , 16 . In the assembly modeling process, the boundary conditions were selected as reflection, and the transport equations were solved by the collision probability method.…”

Section: Beavrs Core Introductionmentioning

confidence: 99%

Neutron transport calculation for the BEAVRS core based on the LSTM neural network

Ren,

He,

Lei

et al. 2023

Sci Rep

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With the rapid development of computer technology, artificial intelligence and big data technology have undergone a qualitative leap, permeating into various industries. In order to fully harness the role of artificial intelligence in the field of nuclear engineering, we propose to use the LSTM algorithm in deep learning to model the BEAVRS (Benchmark for Evaluation And Validation of Reactor Simulations) core first cycle loading. The BEAVRS core is simulated by DRAGON and DONJON, the training set and the test set are arranged in a sequential fashion according to the evolution of time, and the LSTM model is constructed by changing a number of hyperparameters. In addition to this, the training set and the test set are retained in a chronological order that is different from one another throughout the whole process. Additionally, there is a significant pattern that is followed when subsetting both the training set and the test set. This pattern applies to both sets. The steps in this design are very carefully arranged. The findings of the experiments suggest that the model can be altered by making use of the appropriate hyperparameters in such a way as to bring the maximum error of the effective multiplication factor keff prediction of the core within 2.5 pcm (10–5), and the average error within 0.5266 pcm, which validated the successful application of machine learning to transport equations.

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Mesh-free semi-quantitative variance underestimation elimination method in Monte Caro algorithm

Cited by 2 publications

References 25 publications

TLD calibration and absorbed dose measurement in a radiation-induced liver injury model under a linear accelerator

TLD calibration and absorbed dose measurement in a radiation-induced liver injury model under a linear accelerator

Neutron transport calculation for the BEAVRS core based on the LSTM neural network

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