The Bimodal Neutron and X-ray Imaging Driven by a Single Electron Linear Accelerator

Both X-ray imaging and neutron imaging are essential methods in non-destructive testing. In this work, a bimodal imaging method combining neutron and X-ray imaging is introduced. The experiment is based on a small electron accelerator-based photoneutron source that can simultaneously generate the following two kinds of radiations: X-ray and neutron. This identification method utilizes the attenuation difference of the two rays’ incidence on the same material to determine the material’s properties based on dual-imaging fusion. It can enhance the identification of the materials from single ray imaging and has the potential for widespread use in on-site, non-destructive testing where metallic materials and non-metallic materials are mixed.

Download Full-text

The Bimodal Neutron And Photon Imaging Driven By A Single Electron Linear Accelerator

10.21203/rs.3.rs-511167/v1 ◽

2021 ◽

Author(s):

Yangyi Yu ◽

Ruiqin Zhang ◽

Lu Lu ◽

Yigang Yang

Keyword(s):

Neutron Imaging ◽

Imaging Method ◽

Metallic Materials ◽

Non Destructive Testing ◽

Destructive Testing ◽

Electron Linear Accelerator ◽

X Ray ◽

Bimodal Imaging ◽

X Ray Imaging ◽

Non Destructive

Abstract Both X-ray imaging and neutron imaging are essential methods in non-destructive testing. In this work, a bimodal imaging method combining neutron and X-ray imaging is introduced. The experiment is based on a compact electron accelerator that can simultaneously generate two kinds of radiation: X-ray and neutron. This identification method utilizes the attenuation difference of the two rays’ incidence on the same material to determine the material’s properties based on dual-imaging fusion. It can enhance the identification of the materials from single ray imaging and has the potential for widespread use in on-site, non-destructive testing where metallic materials and non-metallic materials are mixed.

Download Full-text

Development and Application of Neutron Imaging Technique at China Advanced Research Reactor

Materials Science Forum ◽

10.4028/www.scientific.net/msf.850.153 ◽

2016 ◽

Vol 850 ◽

pp. 153-160 ◽

Cited By ~ 1

Author(s):

Lin Feng He ◽

Song Bai Han ◽

Guo Hai Wei ◽

Mei Mei Wu ◽

Yu Wang ◽

...

Keyword(s):

Research Reactor ◽

Neutron Imaging ◽

Non Destructive Testing ◽

Transmission Characteristics ◽

Destructive Testing ◽

Two Phase ◽

Penetration Length ◽

X Ray Imaging ◽

The Difference ◽

Non Destructive

Neutron imaging (NI) has unique feature compared with X-ray imaging for the difference of the transmission characteristics through matters. The sensitivity to light elements, especially hydrogen, and the large penetration length through metals give it special advantages. NI has become a particularly useful universal technique for scientific and applied studies in various research disciplines. This article reviews the recent development of neutron imaging at China Advanced Research Reactor (CARR), including the instrumentations for indirect and real-time imaging and their application for non-destructive testing of nuclear fuel rod, two-phase flow, fuel cell, rock and concrete, etc.

Download Full-text

Effectiveness of Non-Local Means Algorithm with an Industrial 3 MeV LINAC High-Energy X-ray System for Non-Destructive Testing

Sensors ◽

10.3390/s20092634 ◽

2020 ◽

Vol 20 (9) ◽

pp. 2634 ◽

Cited By ~ 1

Author(s):

Kyuseok Kim ◽

Jaegu Choi ◽

Youngjin Lee

Keyword(s):

High Energy ◽

Imaging Systems ◽

Non Destructive Testing ◽

Destructive Testing ◽

X Ray ◽

Local Means ◽

X Ray Imaging ◽

Non Local ◽

Non Destructive

Industrial high-energy X-ray imaging systems are widely used for non-destructive testing (NDT) to detect defects in the internal structure of objects. Research on X-ray image noise reduction techniques using image processing has been widely conducted with the aim of improving the detection of defects in objects. In this paper, we propose a non-local means (NLM) denoising algorithm to improve the quality of images obtained using an industrial 3 MeV high-energy X-ray imaging system. We acquired X-ray images using various castings and assessed the performance visually and by obtaining the intensity profile, contrast-to-noise ratio, coefficient of variation, and normalized noise power spectrum. Overall, the quality of images processed by the proposed NLM algorithm is superior to those processed by existing algorithms for the acquired casting images. In conclusion, the NLM denoising algorithm offers an efficient and competitive approach to overcome the noise problem in high-energy X-ray imaging systems, and we expect the accompanying image processing software to facilitate and improve image restoration.

Download Full-text