Elimination of wraparound artifacts in spatial harmonic imaging using motion blurring
Optics and Lasers in Engineering, ISSN: 0143-8166, Vol: 175, Page: 107999
2024
- 1Citations
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
Article Description
Dark-field X-ray imaging (DFXI), which is based on spatial harmonic imaging (SHI), is an imaging modality that can rapidly and easily acquire microstructural information on macroscopic samples that cannot be detected by conventional X-ray imaging systems. It has potential in various fields. However, it cannot obtain accurate information concerning microstructures, owing to image distortion caused by wraparound artifacts. In this study, we examined the use of motion-blurring technique to eliminate these artifacts and devised a modified motion condition for a tilted grid system designed to prevent moiré artifacts in SHI-based DFXI. Experimental results indicated that the technique successfully eliminated the artifacts in dark-field images and increased the contrast-to-noise ratio for small-angle X-ray scattering signals, which are the measures of microstructural information of the sample. Furthermore, the technique increased the accuracy of detection of low-density foreign bodies in SHI-based DFXI-particularly when the sample had sharp edges. The results indicate the applicability of motion-blurring technique to SHI-based DFXI.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0143816623005286; http://dx.doi.org/10.1016/j.optlaseng.2023.107999; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85181724996&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0143816623005286; https://dx.doi.org/10.1016/j.optlaseng.2023.107999
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know