Image quality analysis for different atmosphere slant path Zenith angle

2022 ◽  
Author(s):  
Faten Sh. Zainulabdeen ◽  
Ali H. Al-Hamdani ◽  
Mohammed A. R. Hussein ◽  
Qusay K. Ahmed ◽  
Zaman H. Kareem
2016 ◽  
Vol 2016 (1) ◽  
pp. 111-116 ◽  
Author(s):  
Dietmar Wueller ◽  
Ulla Bøgvad Kejser

2020 ◽  
Vol 64 (2) ◽  
pp. 20503-1-20503-5
Author(s):  
Faiz Wali ◽  
Shenghao Wang ◽  
Ji Li ◽  
Jianheng Huang ◽  
Yaohu Lei ◽  
...  

Abstract Grating-based x-ray phase-contrast imaging has the potential to enhance image quality and provide inner structure details non-destructively. In this work, using grating-based x-ray phase-contrast imaging system and employing integrating-bucket method, the quantitative expressions of signal-to-noise ratios due to photon statistics and mechanical error are analyzed in detail. Photon statistical noise and mechanical error are the main sources affecting the image noise in x-ray grating interferometry. Integrating-bucket method is a new phase extraction method translated to x-ray grating interferometry; hence, its image quality analysis would be of great importance to get high-quality phase image. The authors’ conclusions provide an alternate method to get high-quality refraction signal using grating interferometer, and hence increases applicability of grating interferometry in preclinical and clinical usage.


2005 ◽  
Vol 1281 ◽  
pp. 1177-1181 ◽  
Author(s):  
S.D. Bianchi ◽  
O. Rampado ◽  
L. Luberto ◽  
A.F. Genovesio ◽  
C.C. Bianchi ◽  
...  

2018 ◽  
Vol 52 ◽  
pp. 166
Author(s):  
Patrick Monnelly ◽  
John Cronin ◽  
Peter Woulfe

2018 ◽  
Vol 5 (03) ◽  
pp. 1 ◽  
Author(s):  
Christiana Balta ◽  
Ramona W. Bouwman ◽  
Wouter J. H. Veldkamp ◽  
Mireille J. M. Broeders ◽  
Ioannis Sechopoulos ◽  
...  

2021 ◽  
Author(s):  
Hyun Gi Kim ◽  
Se Won Oh ◽  
Dongyeob Han ◽  
Jee Young Kim ◽  
Gye Yeon Lim

Abstract The purpose of this study was to compare the image quality of the single-slab, 3D T2-weighted turbo-spin-eco sequence with high sampling efficiency (SPACE) with accelerated SPACE using compressed sensing (CS-SPACE) in paediatric brain imaging. A total of 116 brain MRI (53 in SPACE group and 63 in CS-SPACE group) were obtained from children aged 16 years old or younger. Quantitative image quality was evaluated using the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). The sequences were qualitatively evaluated for overall image quality, SNR, general artifact, cerebrospinal fluid (CSF)-related artifact and grey-white matter differentiation. The two sequences were compared for the total and for two age groups (< 24 months vs. ≥ 24 months). CS application in 3D T2-weighted imaging resulted in 8.5% reduction in scanning time. Quantitative image quality analysis showed higher SNR (Median [Interquartile range]; 29 [25] vs. 23 [14], P = .005) and CNR (0.231 [0.121] vs. 0.165 [0.120], P = .027) with CS-SPACE compared to SPACE. Qualitative image quality analysis showed better image quality with CS-SPACE for general artifact (P = .024) and CSF-related artifact (P < .001). CSF-related artifacts reduction was more prominent in the older age group (≥ 24 months). Overall image quality (P = .162), SNR (P = .726), and grey-white matter differentiation (P = .397) were comparable between SPACE and CS-SPACE. In conclusion, compressed sensing applied 3D T2-weighted images showed comparable or superior image quality compared to conventional images with reduced acquisition time for paediatric brain.


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