Research on the Simulation of Radiographic Imaging Based on Cosmic-Ray Muon Scattering and the Optimization of PoCA

Abstract Muon scattering tomography technology can be of great use in detecting nuclear materials under excellent shielding, thus distinguishing itself from traditional radiography technology. In this study, we firstly introduced the principle of this radiography technology and the rationale of PoCA algorithm used in image reconstruction. Then several experimental models were constructed with the help of Geant4 toolkit, and several sets of simulation experiments were carried out to test the performance of this technology with PoCA algorithm. In order to improve the imaging quality, we designed experiments to find out the cause of distorted image, and then proposed an optimization method. Finally, a quantity was created to present the imaging quality, and several experiments were carried out to validate the effect of this optimization method. The result showed that this method can significantly improve the performance of this algorithm.

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Muon Tracing and Image Reconstruction Algorithms for Cosmic Ray Muon Computed Tomography

IEEE Transactions on Image Processing ◽

10.1109/tip.2018.2869667 ◽

2019 ◽

Vol 28 (1) ◽

pp. 426-435 ◽

Cited By ~ 5

Author(s):

Zhengzhi Liu ◽

Stylianos Chatzidakis ◽

John M. Scaglione ◽

Can Liao ◽

Haori Yang ◽

...

Keyword(s):

Computed Tomography ◽

Image Reconstruction ◽

Cosmic Ray ◽

Reconstruction Algorithms ◽

Image Reconstruction Algorithms

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Muon Tomography for Measuring Amount of Nuclear Materials in Fuel Debris

Volume 4: Nuclear Safety, Security, and Cyber Security; Computer Code Verification and Validation ◽

10.1115/icone26-82139 ◽

2018 ◽

Author(s):

Tsukasa Sugita ◽

Haruo Miyadera ◽

Kenichi Yoshioka ◽

Naoto Kume

Keyword(s):

Nuclear Power ◽

Cosmic Ray ◽

Nuclear Material ◽

Nuclear Materials ◽

Material Control ◽

Nuclear Disaster ◽

Muon Tomography ◽

Debris Removal ◽

Fukushima Daiichi ◽

Near Future

A method to measure an amount of nuclear materials in fuel debris by using muon tomography has being developed for proceeding with decommissioning of Fukushima Daiichi nuclear power plant. As a result of the Fukushima Daiichi nuclear disaster, the molten fuels were mixed with reactor structures and accumulated as fuel debris in the reactor buildings. There is still a large amount of fuel debris remained in each reactor. Fuel debris removal is planned in the near future and the debris will be taken out in this process. The debris need to be inspected from a viewpoint of nuclear material control. Since the debris is a mixture of fuel and other structures, it is hard to quantitate nuclear materials in debris by existing measurement method. Muons are cosmic-ray particles which have high energies, therefore, they are highly penetrative. This feature makes muon tomography sensitive to find heavy materials such as uranium or plutonium. We conducted a simulation study of applying muon tomography to measure fuel debris by using a Monte-Carlo method. A simulation model which includes muon detectors, shielding container and fuel debris was constructed to reproduce a measurement situation at the site. In conclusion, muon tomography quantitate the nuclear materials, therefore, this method should be useful for the fuel debris removal of Fukushima Daiichi reactors.

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High-resolution image reconstruction for portable ultrasound imaging devices

EURASIP Journal on Advances in Signal Processing ◽

10.1186/s13634-019-0649-x ◽

2019 ◽

Vol 2019 (1) ◽

Cited By ~ 5

Author(s):

Ruoyao Wang ◽

Zhenghan Fang ◽

Jiaqi Gu ◽

Yi Guo ◽

Shicong Zhou ◽

...

Keyword(s):

Image Reconstruction ◽

Ultrasound Imaging ◽

Portable Devices ◽

Reconstruction Method ◽

Ultrasound Images ◽

Training Procedure ◽

Generative Adversarial Network ◽

Portable Ultrasound ◽

Imaging Quality ◽

Reconstruction Performance

AbstractPursuing better imaging quality and miniaturizing imaging devices are two trends in the current development of ultrasound imaging. While the first one leads to more complex and expensive imaging equipment, poor image quality is a common problem of portable ultrasound imaging systems. In this paper, an image reconstruction method was proposed to break through the imaging quality limitation of portable devices by introducing generative adversarial network (GAN) model into the field of ultrasound image reconstruction. We combined two GAN generator models, the encoder-decoder model and the U-Net model to build a sparse skip connection U-Net (SSC U-Net) to tackle this problem. To produce more realistic output, stabilize the training procedure, and improve spatial resolution in the reconstructed ultrasound images, a new loss function which combines adversarial loss, L1 loss, and differential loss was proposed. Three datasets including 50 pairs of simulation, 40 pairs of phantom, and 72 pairs of in vivo images were used to evaluate the reconstruction performance. Experimental results show that our SSC U-Net is able to reconstruct ultrasound images with improved quality. Compared with U-Net, our SSC U-Net is able to preserve more details in the reconstructed images and improve full width at half maximum (FWHM) of point targets by 3.23%.

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Optimization study of a clustering algorithm for cosmic-ray muon scattering tomography used in fast inspection

Nuclear Engineering and Technology ◽

10.1016/j.net.2020.06.004 ◽

2021 ◽

Vol 53 (1) ◽

pp. 208-215

Author(s):

Linjun Hou ◽

Yonggang Huo ◽

Wenming Zuo ◽

Qingxu Yao ◽

Jianqing Yang ◽

...

Keyword(s):

Clustering Algorithm ◽

Cosmic Ray ◽

Muon Scattering ◽

Optimization Study

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Cosmic ray muon tomography system using drift chambers for the detection of Special Nuclear Materials

IEEE Nuclear Science Symposuim & Medical Imaging Conference ◽

10.1109/nssmic.2010.5873821 ◽

2010 ◽

Cited By ~ 6

Author(s):

V Anghel ◽

J Armitage ◽

J Botte ◽

K Boudjemline ◽

D Bryman ◽

...

Keyword(s):

Cosmic Ray ◽

Nuclear Materials ◽

Special Nuclear Materials ◽

Tomography System ◽

Muon Tomography ◽

Drift Chambers

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Development of the very long-range cosmic-ray muon radiographic imaging technique to explore the internal structure of an erupting volcano, Shinmoe-dake, Japan

Geoscientific Instrumentation Methods and Data Systems ◽

10.5194/gi-4-215-2015 ◽

2015 ◽

Vol 4 (2) ◽

pp. 215-226 ◽

Cited By ~ 9

Author(s):

T. Kusagaya ◽

H. K. M. Tanaka

Keyword(s):

Internal Structure ◽

Background Noise ◽

Imaging Technique ◽

Cosmic Ray ◽

Low Density ◽

Radiographic Imaging ◽

Density Region ◽

Practical Tool ◽

Caldera Floor ◽

Near Future

Abstract. Muography offers us a tool to observe hazardous erupting volcanoes remotely. However, practical muographic observations of volcanoes from a distance are difficult; therefore, various observations have been performed in the vicinity (< 1.5 km) of volcano peaks to suppress background noise and enhance images. In this study, we created a muographic image directly beneath the caldera floor of the erupting Shinmoe-dake volcano in Japan by locating our muography telescope 5 km from the peak. The Shinmoe-dake volcano began to erupt on 19 January 2011 and, in less than 1 month, the ejected lava almost completely filled the caldera and completely changed the topography of the caldera floor. The resultant image shows a low-density region underneath the western part of the newly created caldera floor, which indicates the existence of a void there. After the volcano became less active in February 2011, infrequent eruptions might have left a void beneath the caldera floor, which may trigger a collapse in the future. We anticipate that our novel muography will be a practical tool for monitoring and predicting eruption sequences in the near future.

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