Nuctech Company Limited

Other

Tsinghua University

Qian Yi

Ziran Zhao

Bicheng Liu

Zhiqiang Chen

Jianping Gu

Jian Gao

Li Ni Zhang

Liang Li

Yaohong Liu

Kejun Kang

Jianmin Li

Yuxiang Xing

Guangming Xu

Nan Liu

Honghai Li

Liwei Zhu

Yameng Li

Tiao Zhao

Ling Sun

Liyang Lu

Dezao Hou

Jiahai Zhao

Fengman Yang

Yanqing Cen

Xianghui Song

Dongzhu Wang

The present disclosure provides a spiral Computed Tomography (CT) device and a three-dimensional image reconstruction method. The spiral CT device includes: an inspection station operable to carry an object to be inspected and defining an inspection space; a rotational supporting apparatus disposed around the inspection space; a plurality of X-ray sources located on the rotational supporting apparatus; and a plurality of X-ray receiving apparatuses located on the rotational supporting apparatus and opposing to the plurality of X-ray sources respectively, wherein the plurality of X-ray sources and the plurality of X-ray receiving apparatuses are rotational synchronously with the rotational supporting apparatus, wherein the plurality of X-ray sources are closely disposed and fan-shaped X-ray beams provided by the plurality of X-ray sources cover the inspection space with a minimum degree of overlapping.

Spiral CT device and Three-dimensional image reconstruction method

The present application provides an intelligent cloud traffic control system, which has a traffic data recalling and transmission architecture arranged hierarchically from bottom to top, and which includes: terminal devices, first-level cloud devices, second-level cloud devices, . . . i-level cloud devices; wherein the i-level cloud devices include a first cloud device, . . . a jcloud device; the i-level cloud devices further include: a first cache cloud, . . . a kcache cloud arranged corresponding to the jcloud device; wherein the jcloud device stores a jcloud device traffic data set, and the kcache cloud stores a kcharacteristic traffic data set; and data in the kcharacteristic traffic data set has a higher priority of being recalled than data in the jcloud device traffic data set. Therefore, the present application can preferentially recall traffic data in the cache cloud that has a batter correspondence to task, a smaller range and even a better data structure, thereby significantly improving the data recalling rate and retrieval response efficiency of cloud devices at the same level and even the entire intelligent cloud traffic control system.

Intelligent cloud traffic control system and traffic control method

The present disclosure discloses an inspection device and a method for inspecting a container. Transmission scanning is performed on the inspected container using a scanning device including a sparse area array detector to obtain scan data. Digital focusing is performed at a specific depth position in a depth direction. Defocused pixel values are filtered out to obtain a slice image at the specific depth position. It is judged whether dangerous articles or suspicious articles are included in the slice image.

Inspection devices and methods for inspecting a container

The present disclosure provides a decomposition method based on basis material combination. In the present disclosure, a scanned object is divided into a plurality of regions, the basis material combinations used in each of the divided regions are different each other, and the scanned object is re-divided according to the re-determined equivalent atomic number of its each point until the change on decomposition coefficient meets certain conditions. Thereby, a decomposition method based on dynamic basis material combinations is realized, which reduces a decomposition error caused by improper selection of the basis material combination and improves the accuracy of the decomposition and substance identification of the multi-energy CT.

Decomposition method and apparatus based on basis material combination

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Beijing, China

Qian Yi