Monte Carlo optimization of an industrial tomography system

被引:0
|
作者
Berdondini, Andrea [1 ]
Bettuzzi, Matteo [1 ]
Bianconi, Davide [1 ]
Brancaccio, Rosa [1 ]
Casali, Franco [1 ]
Cornacchia, Samantha [1 ]
Flisch, Alexander [1 ]
Lanconelli, Nico [1 ]
Morigi, Maria Pia [1 ]
Hofmann, Juergen [1 ]
Pasini, Alessandro [1 ]
Rossi, Alberto [1 ]
机构
[1] Univ Bologna, Dept Phys, I-40126 Bologna, Italy
关键词
computed tomography; Monte Carlo; industrial CT;
D O I
暂无
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Computed Tomography (CT) is becoming a very useful non-destructive testing technique, in the industrial eld, since it permits the detection of small inner defects in a reliable and accurate way. In order to get very good performance, in terms of image contrast and spatial resolution, the con guration of the tomography system has to be optimized carefully. Monte Carlo simulations can be a very helpful method, for choosing different conditions and selecting the best con guration of a CT system. In this paper we present a preliminary optimization of an industrial CT apparatus, obtained by means of Monte Carlo simulations. The system is composed of an X-ray tube, Itering and collimation devices, and a detector made of a scintillator coupled to a CCD camera. We focus our attention on large aluminum objects and investigate the contribution of the scattered radiation. Some options have been simulated, for reducing the scattering photons, thus improving the overall image quality.
引用
收藏
页码:856 / 859
页数:4
相关论文
共 50 条
  • [1] Monte Carlo optimization of an industrial tomography system
    Berdondini, A.
    Bettuzzi, M.
    Blanconi, D.
    Brancacclo, R.
    Casali, F.
    Cornacchia, S.
    Flisch, A.
    Hofmann, J.
    Lanconelli, N.
    Morigi, M. P.
    Pasini, A.
    Rossi, A.
    Sauerwein, C.
    Simon, M.
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2007, 580 (01): : 771 - 773
  • [2] Mesh optimization for Monte Carlo based optical tomography
    Edmans, Andrew
    Intes, Xavier
    Smith, Cameron
    [J]. 2014 40TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE (NEBEC), 2014,
  • [3] Mesh Optimization for Monte Carlo-Based Optical Tomography
    Edmans, Andrew
    Intes, Xavier
    [J]. PHOTONICS, 2015, 2 (02): : 375 - 391
  • [4] Optimization of detection geometry for industrial SPECT by Monte Carlo simulations
    Park, J. G.
    Kim, C. H.
    Han, M. C.
    Jung, S. H.
    Kim, J. B.
    Moon, J.
    [J]. JOURNAL OF INSTRUMENTATION, 2013, 8
  • [5] Monte Carlo studies of a proton computed tomography system
    Cirrone, G. A. Pablo
    Cuttone, Giacomo
    Candiano, Giuliana
    Di Rosa, Francesco
    Lo Nigro, Salvatore
    Lo Presti, Domenico
    Randazzo, Nunzio
    Sipala, Valeria
    Bruzzi, Mara
    Menichelli, David
    Scaringella, Monica
    Bashkirov, Vladimir
    Williams, R. David
    Sadrozinski, Hartmut F. -W.
    Heimann, Jason
    Feldt, Jason
    Blumenkrantz, Nate
    Talamonti, C.
    Schulte, Reinhard
    [J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2007, 54 (05) : 1487 - 1491
  • [6] Monte Carlo study of plastic rod scintillators for use in industrial computed tomography
    Taheri, A.
    Askari, M.
    [J]. JOURNAL OF INSTRUMENTATION, 2022, 17 (01)
  • [7] Detailed Monte Carlo investigation of a proton computed tomography system
    Cuttone, G.
    Cirrone, G. A. P.
    Candiano, G.
    Di Rosa, F.
    Russo, Giorgio
    Randazzo, N.
    Sipala, V.
    Lo Nigro, S.
    Lo Presti, D.
    Feldt, J.
    Heimann, J.
    Sadrozinski, H. F. -W.
    Seiden, A.
    Williams, D. C.
    Bashkirov, V.
    Schulte, R.
    Bruzzi, M.
    Menichelli, D.
    Scaringella, M.
    [J]. 2005 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2005, : 2873 - 2875
  • [8] Monte Carlo optimization of shielding for novel industrial free release measurement facility
    Solc, Jaroslav
    Kovar, Petr
    Suran, Jiri
    Grisa, Tomas
    [J]. APPLIED RADIATION AND ISOTOPES, 2017, 126 : 73 - 75
  • [9] Support Vector Machine and Monte Carlo Simulation for Robust Optimization of Industrial Processes
    Duhamel, Christophe
    Vincent, Benjamin
    Tchernev, Nikolay
    Ren, Libo
    [J]. 2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM), 2015, : 988 - 997
  • [10] System Reliability Based Design Optimization With Monte Carlo Simulation
    Wang, Haikun
    Gong, Zhean
    Huang, Hong-Zhong
    Zhang, Xiaoling
    Lv, Zhiqiang
    [J]. 2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2012, : 1143 - 1147