TY - JOUR
T1 - X-ray cargo container inspection system with few-view projection imaging
AU - Duan, Xinhui
AU - Cheng, Jianping
AU - Zhang, Li
AU - Xing, Yuxiang
AU - Chen, Zhiqiang
AU - Zhao, Ziran
N1 - Funding Information:
National Natural Science Foundation of China (No. 10575059), New Century Excellent Talents in University (NCET), National Natural Science Foundation of China for Young Scholars (No. 10605015), National Natural Science Foundation of China (No. 60772051), the Backbone-Researcher Supporting Program of Tsinghua University, the Fundamental Research Foundation of Tsinghua University (JC2007027).
PY - 2009/1/11
Y1 - 2009/1/11
N2 - An X-ray cargo inspection system with few-view projection imaging is developed for detecting contraband in air containers. This paper describes this developing inspection system, including its configuration and the process of inspection using three imaging modalities: digital radiography (DR), few view imaging and computed tomography (CT). The few-view imaging can provide 3D images with much faster scanning speed than CT and do great help to quickly locate suspicious cargo in a container. An algorithm to reconstruct tomographic images from severely sparse projection data of few-view imaging is discussed. A cooperative work manner of the three modalities is presented to make the inspection more convenient and effective. Numerous experiments of performance tests and modality comparison are performed on our system for inspecting air containers. Results demonstrate the effectiveness of our methods and implementation of few-view imaging in practical inspection systems.
AB - An X-ray cargo inspection system with few-view projection imaging is developed for detecting contraband in air containers. This paper describes this developing inspection system, including its configuration and the process of inspection using three imaging modalities: digital radiography (DR), few view imaging and computed tomography (CT). The few-view imaging can provide 3D images with much faster scanning speed than CT and do great help to quickly locate suspicious cargo in a container. An algorithm to reconstruct tomographic images from severely sparse projection data of few-view imaging is discussed. A cooperative work manner of the three modalities is presented to make the inspection more convenient and effective. Numerous experiments of performance tests and modality comparison are performed on our system for inspecting air containers. Results demonstrate the effectiveness of our methods and implementation of few-view imaging in practical inspection systems.
KW - CT
KW - Cargo inspection
KW - Few-view projection imaging
UR - http://www.scopus.com/inward/record.url?scp=57649110610&partnerID=8YFLogxK
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U2 - 10.1016/j.nima.2008.08.151
DO - 10.1016/j.nima.2008.08.151
M3 - Article
AN - SCOPUS:57649110610
SN - 0168-9002
VL - 598
SP - 439
EP - 444
JO - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
JF - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
IS - 2
ER -