Tsinghua University

Nuctech Company Limited

Hongkai Yang

Zhiqiang Chen

Li Ni Zhang

Yinong Liu

Xin Jin

Kejun Kang

Jianmin Li

Yuxiang Xing

Li Zhang

Le Shen

Xiaofei Xu

Zhenhua Zhao

Siyuan Zhang

Kaichao Liang

Zhiqing Chen

Changyu Chen

The present disclosure relates to an imaging system and method for radiographic inspection. The imaging system for radiographic inspection includes an inspection area including an imaging area; a first ray source assembly, all the first targets of which are arranged in a first ray source plane; a first detector assembly, the plurality of first detector units of which are arranged in a detector plane, the detector plane and the first ray source plane are spaced apart from each other in a travelling direction of the object under inspection with a predetermined distance; and a ray source control device, configured such that when the region of interest of the object under inspection is at least partially located in the imaging area, the first ray source assembly emits X-rays simultaneously from at least two first targets to the imaging area at the same time.

Imaging system and method for radiographic inspection

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.

Image processing method using convolutional neural network, image processing device and storage medium

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Beijing, China

Hongkai Yang