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Featured researches published by Shengpeng Yu.


Nuclear Technology | 2018

Development of Chinese Female Computational Phantom Rad-Human and Its Application in Radiation Dosimetry Assessment

Yican Wu; Mengyun Cheng; Wen Wang; Jing Song; Shengpeng Yu; Pengcheng Long; Liqin Hu

Abstract Dose conversion coefficients are important physical quantities in radiation dosimetry assessment and can be derived from Monte Carlo simulation based on human computational phantoms. In order to accurately evaluate the dose to a human body especially for a Chinese female, a precise whole-body Chinese female computational phantom named Rad-Human was constructed based on high-resolution digital color slice images of an adult female body. Rad-Human includes 46 tissues and organs with a minimum voxel size of 0.15 × 0.15 × 0.25 mm for head and neck and 0.15 × 0.15 × 0.5 mm for other regions, and it contains more than 28.8 billion voxels. Conversion coefficients and effective doses of external radiation, specific absorbed fractions, and S values of internal radiation for different energies for Rad-Human were calculated. The calculated dose conversion coefficients were reasonable comparing and analyzing the relationship between dose and organ characteristics with those values of the International Commission on Radiological Protection (ICRP) reference phantom. Based on the information and simulation results of Rad-Human, a set of more complete data of dose conversion coefficients in the radiation field was constructed for a Chinese adult female. Dose discrepancies that were observed were due to differences of body structures between the two phantoms. The differences of dose conversion coefficients between Rad-Human and the ICRP reference phantom demonstrate that Rad-Human can more accurately assess the exposure dose especially for a Chinese female.


ieee international conference on cloud computing technology and science | 2013

Human Organ Geometry Construction from Segmented Images

Kai Zhao; Mengyun Cheng; Pengcheng Long; Shengpeng Yu; Liqin Hu; Yican Wu; Fds Team

The human voxel phantom containing large number of voxels is laborious for three dimensional (3D) reconstructions in Monte Carlo simulation applications. A fast and accurate geometry construction method was put forward in present study. The voxels of the phantom was processed as follows: (1) Assigned voxels of one certain organ with 3D coordinates. (2)Based on the coordinate matrix, the voxels were 3D merged into large cuboids. (3)Extract the vertical plane of the surface of the organ in six directions. (4) Planes were used to enclose the organ for the geometry reconstruction. In the process, the voxels was indexed in accordance with the coordinates in order to establish and achieve traversals. With this method, the whole-body phantom of a Chinese radiation virtual human (Rad-HUMAN) was effectively constructed. The geometry described by planes could represent the accurate appearance and precise interior structure of the whole-body phantom. Without ambiguity and self-crossing, it can faithfully describe the voxel pattern of the phantom which can be effectively visualized.


Journal of Fusion Energy | 2015

Shielding Design for Activated First Wall Transferring in ITER Hot Cell Building

Shengpeng Yu; Qi Yang; Chao Chen; Liqin Hu; Yican Wu; M. Loughlin


Annals of Nuclear Energy | 2015

Convex-based void filling method for CAD-based Monte Carlo geometry modeling

Shengpeng Yu; Mengyun Cheng; Jing Song; Pengcheng Long; Liqin Hu


Fusion Engineering and Design | 2017

Bi-level spatial subdivision based monte carlo ray tracing directly using CAD models

Shengpeng Yu; Bin Wu; Jing Song; Lijuan Hao; Xiaolei Zheng; Longfeng Shen


Annals of Nuclear Energy | 2016

CAD-based hierarchical geometry conversion method for modeling of fission reactor cores

Quan Gan; Bin Wu; Shengpeng Yu; Jing Song; Yongliang Wang


Annals of Nuclear Energy | 2018

Detailed neutronic analysis of a MOX-fueled metal-cooled reactor

Zeeshan Jamil; Bin Wu; Shengpeng Yu; Qi Yang; Muhammad Salman Khan; Muhammad Younas Ali; Liqin Hu


Annals of Nuclear Energy | 2016

CAD-based Monte Carlo automatic modeling method based on primitive solid

Dong Wang; Jing Song; Shengpeng Yu; Pengcheng Long; Yongliang Wang


international conference on supercomputing | 2014

MCAM 5: An Advanced Interface Program for Multiple Monte Carlo Codes

Dong Wang; Shengpeng Yu; Guozhong Wang; Pengcheng Long; Dianxi Wang; Fanzhi Nie; Quan Gan; Qin Zeng; Liqin Hu; Yican Hu


Nuclear Science and Techniques | 2018

Data decomposition method for full-core Monte Carlo transport–burnup calculation

Hong-Fei Liu; Peng Ge; Shengpeng Yu; Jing Song; Xiaolei Zheng

Collaboration


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Jing Song

Chinese Academy of Sciences

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Liqin Hu

University of Science and Technology of China

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Pengcheng Long

Chinese Academy of Sciences

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Yican Wu

University of Science and Technology of China

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Bin Wu

Chinese Academy of Sciences

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Mengyun Cheng

Chinese Academy of Sciences

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Lijuan Hao

Chinese Academy of Sciences

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Qin Zeng

University of Science and Technology of China

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Dong Wang

Chinese Academy of Sciences

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Guozhong Wang

Chinese Academy of Sciences

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