Sparse angle fast neutron CT imaging method

A sparse angle, CT imaging technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of affecting the quality of reconstructed images, slow convergence, inaccurate noise models, etc., to improve the quality of reconstructed images, speed up The effect of convergence speed

Active Publication Date: 2020-09-11
MATERIAL INST OF CHINA ACADEMY OF ENG PHYSICS
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a sparse-angle fast neutron CT imaging method, which mainly solves the problem in the prior art that the quality of the reconstructed image is affected by the inaccurate noise model and slow convergence speed.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sparse angle fast neutron CT imaging method
  • Sparse angle fast neutron CT imaging method
  • Sparse angle fast neutron CT imaging method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described below with reference to the accompanying drawings and examples, and the embodiments of the present invention include but not limited to the following examples.

[0029] The invention provides a sparse-angle fast neutron CT imaging method, which is applied to the non-destructive testing of hydrogen-containing materials. The method mainly consists of collecting projection data, preliminary reconstruction, building a CT image reconstruction model, solving the model and obtaining the final reconstruction image. Composition of large processes, such as figure 1 shown.

[0030] The details of each process are explained in turn below.

[0031] 1. Acquisition of projection data

[0032] First, the parameters of the fast neutron CT imaging geometric system are set to obtain the system matrix, and then the fast neutron CT system is used to collect the projection data of the sample to be measured at sparse angles to obtain the sinog...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a sparse angle fast neutron CT imaging method. The method comprises: (S1) acquiring projection data of a sample to be measured at a sparse angle by using a fast neutron CT system to obtain a sinogram of a slice layer to be reconstructed, and performing logarithmic transformation processing on the sinogram; (2) reconstructing the projection data by adopting a statistical iterative reconstruction algorithm to obtain a preliminary reconstruction result; (S3) constructing a sparse angle fast neutron CT image reconstruction model; (S4) solving the sparse angle CT image reconstruction model to obtain an image after image total variation optimization; and (S5) repeating the steps (S2)-(S4), stopping calculation when the number of cycles reaches a preset number, and takingan obtained iterative calculation result as a final reconstructed image. According to the method, the noise model can be depicted more accurately, a better reconstructed image is obtained, the scanning time of fast neutron CT is effectively shortened, and the iterative convergence speed is increased. Therefore, the requirements of actual application are better met.

Description

technical field [0001] The invention belongs to the field of ray transmission imaging, and in particular relates to a sparse-angle fast neutron CT imaging method. Background technique [0002] Fast neutron CT has been widely used in the nondestructive testing of hydrogen-containing materials. However, limited by the intensity of the neutron source and the detection efficiency of the detector, the sample scanning time is as long as hours or even days. How to effectively reduce the scanning time under the premise of ensuring the quality of image reconstruction has become one of the key technologies in the field of neutron CT imaging. At present, the common methods to reduce the scanning time include reducing the exposure time of each angle and reducing the projection angle. Reducing the exposure time of each angle will lead to the increase of statistical noise in the projection data, and reducing the projection angle is a sparse angle CT scan. [0003] For sparse-angle CT sc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00
CPCG06T11/006Y02E30/30
Inventor 王鹍苏明高凡韦炳军帅茂兵
Owner MATERIAL INST OF CHINA ACADEMY OF ENG PHYSICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products