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公开(公告)号：US20200210785A1
公开(公告)日：2020-07-02
申请号：US16725926
申请日：2019-12-23
Applicant: Nuctech Company Limited , Tsinghua University
Inventor： Yanjie YAO , Yongchun LIU , Yan ZHANG , Ziran ZHAO , Li ZHANG , Yuxiang XING
Abstract: Empty container identification method and system are disclosed. The method includes: obtaining customs declaration information, and finding out an vehicle declared as an empty container or an empty vehicle from the customs declaration information; performing X-ray inspection on the vehicle to acquire a transmission image of the vehicle; inputting the transmission image into an empty container identification model obtained by pre-training, so that the empty container identification model determines candidate regions of the transmission image, and performs post-processing analysis on the candidate regions to obtain an image identification result; and comparing the image identification result with the corresponding customs declaration information to determine whether or not the image identification result is consistent with the customs declaration information.
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公开(公告)号：US20140185741A1
公开(公告)日：2014-07-03
申请号：US14135023
申请日：2013-12-19
Applicant: Nuctech Company Limited , Tsinghua University
Inventor： Le SHEN , Yuxiang XING , Qi SHEN , Meng CAO , Li ZHANG , Zhiqiang CHEN
CPC classification number: A61B6/482 , A61B5/4869 , A61B6/027 , A61B6/5205 , A61B6/54 , G01N23/046 , G01N2223/419 , G01V5/005
Abstract: The present invention relates to a Computed Tomography (CT) imaging system, in particular to a multi-energy CT imaging system and imaging method.
Abstract translation: 本发明涉及一种计算机断层成像（CT）成像系统，特别涉及一种多能CT成像系统和成像方法。
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3.发明申请公开(公告)号：US20190094407A1
公开(公告)日：2019-03-28
申请号：US16037810
申请日：2018-07-17
Applicant: Nuctech Company Limited , Tsinghua University
Inventor： Li ZHANG , Zhiqiang CHEN , Le SHEN , Qingping HUANG , Yunda SUN , Xin JIN , Hui DING , Yuxiang XING
IPC: G01V5/00 , G01N23/046
Abstract: The disclosure provides a scanning imaging system for security inspection of an object and an imaging method thereof, the system comprising: a conveying unit configured for bringing the object to move along a conveying direction; a plurality of radiographic sources at one side of the conveying unit, being arranged successively in a direction vertical to a plane, in which the conveying unit is located, and configured for alternately emitting ray beams to form a scanning area; a linear detector array at the other side of the conveying unit, being configured for detecting first projection images, which are formed after the ray beams emitted by the plurality of radiographic sources penetrate through the object, in the process of the object passing through the scanning area; an imaging unit configured for obtaining a first reconstructed image of the object based on the first projection images of the plurality of radiographic sources.
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公开(公告)号：US20180182129A1
公开(公告)日：2018-06-28
申请号：US15580005
申请日：2016-08-22
Applicant: TSINGHUA UNIVERSITY , Nuctech Company Limited
Inventor： Yuxiang XING , Li ZHANG , Huayu ZHANG , Le SHEN
CPC classification number: G06T11/005 , G06T7/0012 , G06T2207/10081 , G06T2207/20081 , G06T2211/408
Abstract: A spectral CT image reconstructing method includes: collecting incomplete original projection data in each of a plurality of energy windows; performing a projection data cross estimation using corresponding original projection data in at least one pair of energy windows constituted by different energy windows of the plurality of energy windows to obtain estimated projection data, wherein each pair of energy windows comprises a first energy window and a second energy window; combining the original projection data and the corresponding estimated projection data to obtain complete projection data; and reconstructing a spectral CT image using the complete projection data.
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5.发明公开公开(公告)号：US20230144433A1
公开(公告)日：2023-05-11
申请号：US17980831
申请日：2022-11-04
Applicant: NUCTECH COMPANY LIMITED , Tsinghua University
IPC: G06V10/80 , G06V20/62 , G06V10/26 , G06V10/82 , G06F40/295
CPC classification number: G06V10/806 , G06V20/62 , G06V10/26 , G06V10/82 , G06F40/295
Abstract: Provided is a method of verifying an authenticity of declaration information. The method includes: acquiring a machine-detected radiation image obtained by scanning a container loaded with an article; acquiring a declaration information for declaring the article in the container; performing an identification on an image information of the article in the machine-detected radiation image to obtain an image feature corresponding to the machine-detected radiation image; performing an identification on a text information of the article in the declaration information to obtain a text feature corresponding to the declaration information; screening a declaration category of the article in the container by taking the image feature as an input information and the text feature as an external introduction feature; and determining that the declaration information is in doubt when a declaration category of at least one article in the container does not belong to a declaration category in the declaration information.
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Patent Agency Ranking
公开(公告)号：US20190206095A1
公开(公告)日：2019-07-04
申请号：US16235882
申请日：2018-12-28
Applicant: Tsinghua University , NUCTECH COMPANY LIMITED
Inventor： Yuxiang XING , Kaichao LIANG , Le SHEN , Li ZHANG , Hongkai YANG , Kejun KANG , Zhiqiang CHEN , Jianmin LI , Yinong LIU
CPC classification number: G06T11/003
Abstract: An image processing method, comprising: acquiring, by a CT scanning system, projection data of an object; and processing, by using a convolutional neural network, the projection data, to acquire an estimated image of the object. The convolutional neural network comprises: a projection domain network for processing input projection data to obtain estimated projection data; an analytical reconstruction network layer for performing analytical reconstruction to obtain a reconstructed image; an image domain network for processing the reconstructed image to obtain an estimated image, a projection layer for performing a projection operation by using a system projection matrix of the CT scanning system, to obtain a projection result of the estimated image; and a statistical model layer for determining consistency among the input projection data, the estimated projection data, and the projection result of the estimated image based on a statistical model.
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公开(公告)号：US20170309043A1
公开(公告)日：2017-10-26
申请号：US15129455
申请日：2015-12-23
Applicant: Tsinghua University , NUCTECH COMPANY LIMITED
Inventor： Liang LI , Zhiqiang CHEN , Kejun KANG , Li ZHANG , Ziran ZHAO , Yuxiang XING , Yongshun XIAO , Jianping GU , Juan ZHENG
CPC classification number: G06T11/003 , G01N23/04 , G06T7/0002 , G06T11/008 , G06T2207/10081 , G06T2207/30112 , G06T2211/408
Abstract: Disclosed is a dual-energy ray imaging method and system. The method comprises: calculating the mass thicknesses of the materials in the overlapped area of two materials by using a calibrated surface fitting method, and then decomposing a pair of original high-energy and low-energy data for this pixel into two high-low-energy data sets corresponding to the two materials, and finally calculating and acquiring the composition result of different materials for each pixel. The disclosure is especially advantageous in that the problem of error recognition of materials due to the two overlapped materials can be eliminated and the stratified imaging of multiple materials can be achieved, thereby improving the accuracy of the substance recognition and reducing the rate of false positive and false negative which is very important to the applications in the field of security check and anti-smuggling.
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公开(公告)号：US20140093152A1
公开(公告)日：2014-04-03
申请号：US14037236
申请日：2013-09-25
Applicant: Nuctech Company Limited , Tsinghua University
Inventor： Liang LI , Li ZHANG , Zhiqiang CHEN , Ziran ZHAO , Yuxiang XING , Yongshun XIAO , Qingli WANG
IPC: G06T7/00
CPC classification number: G06T7/004 , A61B6/4085 , A61B6/466 , A61B6/469 , A61B6/5258 , G06T7/0012 , G06T7/55 , G06T7/70 , G06T11/006 , G06T2211/421 , G06T2211/436 , G16H40/63
Abstract: The present disclosure provides methods and devices for locating a plurality of interested objects in CT imaging. Location of the interested objects in the three-dimensional space can be determined by using three projection images that are substantially perpendicular to each other. The method can rapidly locate interested objects in a CT image without pre-reconstruction of the CT image even if there are a plurality of interested objects in the field of view. The algorithm does not involve interactive steps. The method is rapid and effective, and thus applicable to industrial applications.
Abstract translation: 本公开提供了用于在CT成像中定位多个感兴趣对象的方法和装置。 可以通过使用基本上彼此垂直的三个投影图像来确定兴趣对象在三维空间中的位置。 即使在视野中存在多个感兴趣的对象，该方法也可以快速定位CT图像中的感兴趣的对象，而无需对CT图像进行预重建。 该算法不涉及交互式步骤。 该方法快速有效，适用于工业应用。
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公开(公告)号：US20230206414A1
公开(公告)日：2023-06-29
申请号：US17928166
申请日：2021-05-24
Applicant: NUCTECH COMPANY LIMITED , Tsinghua University
Inventor： Zhiqiang CHEN , Li ZHANG , Yuanjing LI , Yuxiang XING , Jie SHI
CPC classification number: G06T7/0002 , G06T7/33 , G06T7/97 , G06T1/0007 , G06T1/20 , G06T2207/10116 , G06T2207/20084 , G06T2207/30248
Abstract: A method of inspecting a vehicle includes: acquiring a to-be-inspected image of an inspected vehicle (S11); acquiring a visual feature of the to-be-inspected image using a first neural network model (S12); retrieving a template image from a vehicle template library based on the visual feature of the to-be-inspected image (S13); determining a variation region between the to-be-inspected image and the template image (S14); and presenting the variation region to a user (S15). The system of inspecting a vehicle includes a radiation imaging device (150), a display device (130), an image processor (140), and a storage device (120). The present disclosure further includes a computer-readable storage medium.
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公开(公告)号：US20190035117A1
公开(公告)日：2019-01-31
申请号：US16045383
申请日：2018-07-25
Applicant: NUCTECH COMPANY LIMITED , Tsinghua University
Inventor： Yuxiang XING , Li ZHANG , Jianmin LI , Zhiqiang CHEN , Jianping GU
Abstract: A method and device for reconstructing a CT image and a storage medium are disclosed. CT scanning is performed on an object to be inspected to obtain projection data on a first scale. Projection data on a plurality of other scales is generated from the projection data on the first scale. Projection data on each scale is processed on the corresponding scale by using a first convolutional neural network to obtain processed projection data, and a back-projection operation is performed on the processed projection data to obtain a CT image on the corresponding scale. CT images on the plurality of scales are fused to obtain a reconstructed image of the object to be inspected.
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