An accumulative x-ray streak camera with sub-600-fs temporal resolution and 50-fs timing jitter

2003 ◽  
Vol 82 (20) ◽  
pp. 3553-3555 ◽  
Author(s):  
Jinyuan Liu ◽  
Jin Wang ◽  
Bing Shan ◽  
Chun Wang ◽  
Zenghu Chang
Keyword(s):  
Temporal Resolution ◽  
Streak Camera ◽  
Timing Jitter ◽  
X Ray

C 850 X-Ray Streak Camera With Optimized Spatio-Temporal Resolution

1989 ◽  
Author(s):  
J. de Mascureau ◽  
A. Mens ◽  
J-M Mexmain ◽  
R. Sauneuf ◽  
J. Noel ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Streak Camera ◽  
X Ray ◽  
Spatio Temporal

Soft X-ray Streak Camera with Dynamic Range of 2000 and Picosecond Temporal Resolution

2010 ◽  
Vol 39 (12) ◽  
pp. 2190-2193
Author(s):  
廖华 LIAO Hua ◽  
胡昕 HU Xin ◽  
杨勤劳 YANG Qin-lao ◽  
牛丽红 NIU Li-hong ◽  
张劲松 ZHANG Jin-song ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Dynamic Range ◽  
Streak Camera ◽  
X Ray

scholarly journals An x-ray streak camera with high spatio-temporal resolution

2007 ◽  
Vol 91 (13) ◽  
pp. 134102 ◽  
Author(s):  
J. Feng ◽  
H. J. Shin ◽  
J. R. Nasiatka ◽  
W. Wan ◽  
A. T. Young ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Streak Camera ◽  
X Ray ◽  
Spatio Temporal

X-ray streak camera with 30-fs timing jitter

2004 ◽  
Author(s):  
Jinyuan Liu ◽  
Jin Wang ◽  
Bing Shan ◽  
Chun Wang ◽  
Zenghu Chang
Keyword(s):  
Streak Camera ◽  
Timing Jitter ◽  
X Ray

Influence of voltage divider circuit on imaging stability of X-ray streak camera

2017 ◽  
Vol 34 (5) ◽  
pp. 532
Author(s):  
Li Gu ◽  
Xiang Li ◽  
Fangke Zong ◽  
Junlan Zhou ◽  
Qinlao Yang ◽  
...  
Keyword(s):  
Streak Camera ◽  
Voltage Divider ◽  
X Ray

Picosecond Soft X-Ray Streak Camera

1989 ◽  
Author(s):  
Zhang Xiaoqiou ◽  
Gong Meixia ◽  
Chang Zenghu ◽  
Lei Zhiyuan ◽  
Yang Binzhou ◽  
...  
Keyword(s):  
Streak Camera ◽  
X Ray

Deep Learning Enabled Deblurring of Computed Tomography Images of Porous Media

2021 ◽  
Author(s):  
Khalid Labib Alsamadony ◽  
Ertugrul Umut Yildirim ◽  
Guenther Glatz ◽  
Umair bin Waheed ◽  
Sherif M. Hanafy
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Transfer Learning ◽  
Temporal Resolution ◽  
Exposure Time ◽  
Ct Images ◽  
Loss Functions ◽  
High Quality ◽  
X Ray ◽  
Training Images

Abstract Computed tomography (CT) is an important tool to characterize rock samples allowing quantification of physical properties in 3D and 4D. The accuracy of a property delineated from CT data is strongly correlated with the CT image quality. In general, high-quality, lower noise CT Images mandate greater exposure times. With increasing exposure time, however, more wear is put on the X-Ray tube and longer cooldown periods are required, inevitably limiting the temporal resolution of the particular phenomena under investigation. In this work, we propose a deep convolutional neural network (DCNN) based approach to improve the quality of images collected during reduced exposure time scans. First, we convolve long exposure time images from medical CT scanner with a blur kernel to mimic the degradation caused because of reduced exposure time scanning. Subsequently, utilizing the high- and low-quality scan stacks, we train a DCNN. The trained network enables us to restore any low-quality scan for which high-quality reference is not available. Furthermore, we investigate several factors affecting the DCNN performance such as the number of training images, transfer learning strategies, and loss functions. The results indicate that the number of training images is an important factor since the predictive capability of the DCNN improves as the number of training images increases. We illustrate, however, that the requirement for a large training dataset can be reduced by exploiting transfer learning. In addition, training the DCNN on mean squared error (MSE) as a loss function outperforms both mean absolute error (MAE) and Peak signal-to-noise ratio (PSNR) loss functions with respect to image quality metrics. The presented approach enables the prediction of high-quality images from low exposure CT images. Consequently, this allows for continued scanning without the need for X-Ray tube to cool down, thereby maximizing the temporal resolution. This is of particular value for any core flood experiment seeking to capture the underlying dynamics.

On the possibilities of hard X-ray imaging with high spatio-temporal resolution using polychromatic synchrotron radiation

2010 ◽  
Vol 18 (4) ◽  
pp. 429-441 ◽  
Author(s):  
A. Rack ◽  
F. Garcia-Moreno ◽  
C. Schmitt ◽  
O. Betz ◽  
A. Cecilia ◽  
...  
Keyword(s):  
Synchrotron Radiation ◽  
Temporal Resolution ◽  
X Ray ◽  
X Ray Imaging ◽  
Spatio Temporal
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