Projects per year
Abstract
We present a pixel-specific, measurement-driven correction that effectively reduces errors in detector response that give rise to the ring artifacts commonly seen in X-ray computed tomography (CT) scans. This correction is easy to implement, suppresses CT artifacts significantly, and is effective enough for use with both absorption and phase contrast imaging. It can be used as a standalone correction or in conjunction with existing ring artifact removal algorithms to further improve image quality. We validate this method using two X-ray CT data sets acquired using monochromatic sources, showing post-correction signal-to-noise increases of up to 55%, and we define an image quality metric to use specifically for the assessment of ring artifact suppression.
Original language | English |
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Pages (from-to) | 14231-14245 |
Number of pages | 15 |
Journal | Optics Express |
Volume | 27 |
Issue number | 10 |
DOIs | |
Publication status | Published - 13 May 2019 |
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Dynamic Multi-modal X-ray Imaging
Australian Research Council (ARC)
1/01/19 → 31/12/23
Project: Research
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An X-ray Revolution: Changing the game of non-destructing testing
Australian Research Council (ARC), Monash University
1/01/17 → 31/12/20
Project: Research
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Single Shot X-ray Tomography for Real-Time Functional X-ray Imaging
Kitchen, M., Brown, J. M. C., Hooper, S., Paganin, D. & Pearson, J.
National Health and Medical Research Council (NHMRC) (Australia)
1/01/15 → 30/06/18
Project: Research
Equipment
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Australian Synchrotron
Office of the Vice-Provost (Research and Research Infrastructure)Facility/equipment: Facility