Imaging of small objects and soft materials at optimum energy using a tomographic device based on image intensifier

被引:3
|
作者
Rao, DV [1 ]
Seltzer, SM [1 ]
Hubbell, JH [1 ]
Cesareo, R [1 ]
Brunetti, A [1 ]
Gigante, GE [1 ]
机构
[1] Univ Sassari, Ist Matemat & Fis, I-07100 Sassari, Italy
来源
PENETRATING RADIATION SYSTEMS AND APPLICATIONS II | 2000年 / 4142卷
关键词
plastic; food materials; image intensifier; optimum energy; monochromacy; soft materials; profile; Monte Carlo methods;
D O I
10.1117/12.410578
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Images of small plastic and food materials are obtained using a tomographic device based on image intensifier at optimum energy. The nux emitted by the X-ray tube is filtered using appropriate filters at the chosen optimum energy and reasonable monochromacy is achieved and the images are acceptably distinct. X-ray imaging is an established technique of detecting strongly attenuating materials as distinguished from weakly attenuating materials. The image contrast between the weakly attenuating materials can be enhanced by optimum selection of the energy and improving the spatial resolution. The image contrast between soft materials could be significantly enhanced by optimal selection of the energy of the X-rays using Monte Carlo methods. The images are analyzed using the profile data showing the internal defect of the object. It offers a new nondestructive method using the ionizing radiation techniques. With optimum value of energy and improving the spatial resolution the image contrast of the weakly attenuating materials can be improved considerably.
引用
收藏
页码:297 / 307
页数:5
相关论文
共 33 条
  • [1] An image intensifier-based volume tomographic angiography imaging system
    Ning, RL
    Wang, XH
    Conover, DL
    Tang, XY
    PHYSICS OF MEDICAL IMAGING - MEDICAL IMAGING 1997, 1997, 3032 : 238 - 246
  • [2] Computed tomography with image intensifier: potential use for nondestructive testing and imaging of small objects
    Rao, DV
    Cesareo, R
    Brunetti, A
    Gigante, GE
    NDT & E INTERNATIONAL, 2000, 33 (08) : 523 - 530
  • [3] Image intensifier-based intravenous volume tomographic angiography imaging: Animal studies
    Ning, RL
    Zhang, Y
    Zhang, DH
    Conover, DL
    PHYSICS OF MEDICAL IMAGING, 1998, 3336 : 733 - 741
  • [4] An image intensifier-based volume tomographic angiography imaging system: Work in progress
    Ning, RL
    Zhang, DF
    Wang, XH
    Conover, DL
    PHYSICS OF MEDICAL IMAGING: MEDICAL IMAGING 1996, 1996, 2708 : 328 - 339
  • [5] Computed tomographic images of soft materials using differential attenuation: interior properties of the materials at optimum energy in terms of attenuation coefficient
    Rao, D
    Cesareo, R
    Brunetti, A
    Takeda, T
    Itai, Y
    Akatsuka, T
    Gigante, GE
    NDT & E INTERNATIONAL, 2002, 35 (08) : 573 - 580
  • [6] Tomographic images of few soft materials and embedded biological soft tissue using tube source of X-rays at optimum energy
    Rao, DV
    Yuasa, T
    Akatsuka, T
    Cesareo, R
    Gigante, GE
    Takeda, T
    NDT & E INTERNATIONAL, 2006, 39 (01) : 34 - 38
  • [7] THE ASSESSMENT OF THE IMAGING PERFORMANCE OF X-RAY IMAGE INTENSIFIER TELEVISION SYSTEM USING THE LEEDS TEST OBJECTS
    COWEN, AR
    PHYSICS IN MEDICINE AND BIOLOGY, 1983, 28 (10): : 1163 - 1163
  • [8] Generative model based attenuation image recovery for device-free localization with radio tomographic imaging
    Cao, Zhongping
    Wang, Zhen
    Fei, Hanting
    Guo, Xuemei
    Wang, Guoli
    PERVASIVE AND MOBILE COMPUTING, 2020, 66 (66)
  • [9] Fast Tangentially Viewed Soft X-Ray Imaging System Based on Image Intensifier with Microchannel Plate Detector on QUEST
    Huang, Canbin
    Hanada, Kazuaki
    Kuroda, Kengoh
    Kojima, Shinichro
    Fujiyoshi, Hiroaki
    Miura, Hiroki
    Yamada, Tomoki
    Idei, Hiroshi
    Hasegawa, Makoto
    Onchi, Takumi
    PLASMA AND FUSION RESEARCH, 2019, 14 : 1402128 - 1
  • [10] Model-based dual-energy tomographic image reconstruction of objects containing known metal components
    Liu, Stephen Z.
    Cao, Qian
    Tivnan, Matthew
    Tilley, Steven, II
    Siewerdsen, Jeffrey H.
    Stayman, J. Webster
    Zbijewski, Wojciech
    PHYSICS IN MEDICINE AND BIOLOGY, 2020, 65 (24):