Standardization of Image Quality Analysis – ISO 19264

2016 ◽  
Vol 2016 (1) ◽  
pp. 111-116 ◽  
Author(s):  
Dietmar Wueller ◽  
Ulla Bøgvad Kejser
Keyword(s):  
Image Quality ◽  
Quality Analysis ◽  
Image Quality Analysis

Image Quality Analysis of X-ray Grating Interferometer Using Integrating-bucket Method

2020 ◽  
Vol 64 (2) ◽  
pp. 20503-1-20503-5
Author(s):  
Faiz Wali ◽  
Shenghao Wang ◽  
Ji Li ◽  
Jianheng Huang ◽  
Yaohu Lei ◽  
...  
Keyword(s):  
Image Quality ◽  
Phase Contrast ◽  
Quality Analysis ◽  
Phase Contrast Imaging ◽  
Phase Image ◽  
Contrast Imaging ◽  
High Quality ◽  
Image Quality Analysis ◽  
X Ray ◽  
Grating Interferometer

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.

scholarly journals The image quality analysis of neutron digital radiography through the variation of multiple image capturing

2018 ◽  
Author(s):  
Ayu Fitri Amalia ◽  
Widodo Budhi ◽  
Urip Nurwijayanto Prabowo ◽  
Gede Bayu Suparta
Keyword(s):  
Image Quality ◽  
Digital Radiography ◽  
Quality Analysis ◽  
Image Quality Analysis ◽  
Multiple Image ◽  
Image Capturing

Image quality analysis and low dose dental CT

2005 ◽  
Vol 1281 ◽  
pp. 1177-1181 ◽  
Author(s):  
S.D. Bianchi ◽  
O. Rampado ◽  
L. Luberto ◽  
A.F. Genovesio ◽  
C.C. Bianchi ◽  
...  
Keyword(s):  
Image Quality ◽  
Low Dose ◽  
Quality Analysis ◽  
Image Quality Analysis ◽  
Dental Ct

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
Keyword(s):  
Image Quality ◽  
Zenith Angle ◽  
Quality Analysis ◽  
Image Quality Analysis ◽  
Slant Path

Automating routine CT image quality analysis from a virtual server

2018 ◽  
Vol 52 ◽  
pp. 166
Author(s):  
Patrick Monnelly ◽  
John Cronin ◽  
Peter Woulfe
Keyword(s):  
Image Quality ◽  
Quality Analysis ◽  
Ct Image ◽  
Image Quality Analysis ◽  
Ct Image Quality

scholarly journals Signal template generation from acquired images for model observer-based image quality analysis in mammography

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

scholarly journals Accelerated 3D T2-Weighted SPACE Using Compressed Sensing for Paediatric Brain Imaging

2021 ◽  
Author(s):  
Hyun Gi Kim ◽  
Se Won Oh ◽  
Dongyeob Han ◽  
Jee Young Kim ◽  
Gye Yeon Lim
Keyword(s):  
White Matter ◽  
Image Quality ◽  
Compressed Sensing ◽  
Brain Imaging ◽  
Quality Analysis ◽  
Acquisition Time ◽  
Image Quality Analysis ◽  
Space Group ◽  
Quantitative Image ◽  
Noise Ratio

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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