Technical note: A GPU-based shared Monte Carlo method for fast photon transport in multi-energy x-ray exposures

被引:0
|
作者
Zhou, Yiwen [1 ]
Deng, Wenxin [1 ]
Kang, Jing [1 ]
Xia, Jinqiu [1 ]
Yang, Yingjie [1 ]
Li, Bin [2 ]
Zhang, Yuqin [3 ]
Qi, Hongliang [4 ]
Wu, WangJiang [1 ]
Qi, Mengke [1 ]
Zhou, Linghong [1 ]
Ma, Jianhui [3 ]
Xu, Yuan [1 ]
机构
[1] Southern Med Univ, Sch Biomed Engn, Guangzhou 510515, Peoples R China
[2] Sun Yat Sen Univ, Canc Ctr, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Guangzhou, Peoples R China
[3] Southern Med Univ, Nanfang Hosp, Dept Radiat Oncol, Guangzhou 510515, Peoples R China
[4] Southern Med Univ, Nanfang Hosp, Dept Clin Engn, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Monte Carlo method; multi-energy x-ray exposures; photon transport simulation; SIMULATION; CT; IMPLEMENTATION;
D O I
10.1002/mp.17314
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundThe Monte Carlo (MC) method is an accurate technique for particle transport calculation due to the precise modeling of physical interactions. Nevertheless, the MC method still suffers from the problem of expensive computational cost, even with graphics processing unit (GPU) acceleration. Our previous works have investigated the acceleration strategies of photon transport simulation for single-energy CT. But for multi-energy CT, conventional individual simulation leads to unnecessary redundant calculation, consuming more time.PurposeThis work proposes a novel GPU-based shared MC scheme (gSMC) to reduce unnecessary repeated simulations of similar photons between different spectra, thereby enhancing the efficiency of scatter estimation in multi-energy x-ray exposures.MethodsThe shared MC method selects shared photons between different spectra using two strategies. Specifically, we introduce spectral region classification strategy to select photons with the same initial energy from different spectra, thus generating energy-shared photon groups. Subsequently, the multi-directional sampling strategy is utilized to select energy-and-direction-shared photons, which have the same initial direction, from energy-shared photon groups. Energy-and-direction-shared photons perform shared simulations, while others are simulated individually. Finally, all results are integrated to obtain scatter distribution estimations for different spectral cases.ResultsThe efficiency and accuracy of the proposed gSMC are evaluated on the digital phantom and clinical case. The experimental results demonstrate that gSMC can speed up the simulation in the digital case by similar to 37.8% and the one in the clinical case by similar to 20.6%, while keeping the differences in total scatter results within 0.09%, compared to the conventional MC package, which performs an individual simulation.ConclusionsThe proposed GPU-based shared MC simulation method can achieve fast photon transport calculation for multi-energy x-ray exposures.
引用
收藏
页码:8390 / 8398
页数:9
相关论文
共 50 条
  • [21] A novel scatter separation method for multi-energy x-ray imaging
    Sossin, A.
    Rebuffel, V.
    Tabary, J.
    Letang, J. M.
    Freud, N.
    Verger, L.
    PHYSICS IN MEDICINE AND BIOLOGY, 2016, 61 (12): : 4711 - 4728
  • [22] Metropolis Monte Carlo simulation scheme for fast scattered X-ray photon calculation in CT
    Xu, Yuan
    Chen, Yusi
    Tian, Zhen
    Jia, Xun
    Zhou, Linghong
    OPTICS EXPRESS, 2019, 27 (02) : 1262 - 1275
  • [23] Simulation of spectral reflectances in human skin tissue using ray tracing and GPU-based Monte Carlo method
    Hideki Funamizu
    Takaaki Maeda
    Shoko Sasaki
    Izumi Nishidate
    Yoshihisa Aizu
    Optical Review, 2014, 21 : 359 - 363
  • [24] Simulation of Spectral Reflectances in Human Skin Tissue Using Ray Tracing and GPU-Based Monte Carlo Method
    Funamizu, Hideki
    Maeda, Takaaki
    Sasaki, Shoko
    Nishidate, Izumi
    Aizu, Yoshihisa
    OPTICAL REVIEW, 2014, 21 (03) : 359 - 363
  • [25] A Simulation Method for X-ray Pulsar Signal Based on Monte Carlo
    Jin, Jing
    Liu, Yixiao
    Li, Xiaoyu
    Shen, Yi
    Huang, Liangwei
    2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 1937 - 1942
  • [26] Abnormal breast tissue imaging based on multi-energy x-ray
    Kang, Dong-Goo
    Han, Seok-Min
    Sung, Younghun
    Lee, SeongDeok
    MEDICAL IMAGING 2011: PHYSICS OF MEDICAL IMAGING, 2011, 7961
  • [27] Monte Carlo simulation of X-ray and gamma-ray photon transport on a graphics-processing unit
    Tickner, James
    COMPUTER PHYSICS COMMUNICATIONS, 2010, 181 (11) : 1821 - 1832
  • [28] Method for the determination of electron density from multi-energy X-ray CT
    Jumanazarov, Doniyor
    Alimova, Asalkhon
    Ismoilov, Shukurulloh Kh.
    Atamurotov, Farruh
    Abdikarimov, Azamat
    Olsen, Ulrik L.
    NDT & E INTERNATIONAL, 2024, 145
  • [29] Monte Carlo Simulation of Photon Energy and Dose-Image Quality in X-ray Imaging
    He, Wenjun
    Mah, Eugene
    Huda, Walter
    Yao, Hai
    MEDICAL IMAGING 2012: PHYSICS OF MEDICAL IMAGING, 2012, 8313
  • [30] Experimental validation of a multi-energy x-ray adapted scatter separation method
    Sossin, A.
    Rebuffel, V.
    Tabary, J.
    Letang, J. M.
    Freud, N.
    Verger, L.
    PHYSICS IN MEDICINE AND BIOLOGY, 2016, 61 (24): : 8625 - 8639