ArticleJournal of biomedical optics2019
Method for improving the spatial resolution of narrow x-ray beam-based x-ray luminescence computed tomography imaging.
Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Automated Restarting Fast Proximal Gradient Descent Method for Single-View Cone-Beam X-ray Luminescence Computed Tomography Based on Depth Compensation.Bioengineering (Basel, Switzerland) · 2024Article
- Oxygenation imaging in deep tissue with X-Ray luminescence computed tomography (XLCT).Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Superfast Scan of Focused X-Ray Luminescence Computed Tomography Imaging.IEEE access : practical innovations, open solutions · 2023Article
- Focused x-ray luminescence imaging system for small animals based on a rotary gantry.Journal of biomedical optics · 2021Article
- Radiation dose estimation for pencil beam X-ray luminescence computed tomography imaging.Journal of X-ray science and technology · 2021Article
- Restarted primal-dual Newton conjugate gradient method for enhanced spatial resolution of reconstructed cone-beam x-ray luminescence computed tomography images.Physics in medicine and biology · 2020Article
- High-resolution x-ray luminescence computed tomography.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- X-ray luminescence imaging for small animals.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Focused x-ray luminescence computed tomography: experimental studies.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality which has the potential for achieving both high sensitivity and spatial resolution simultaneously. For the narrow x-ray beam-based XLCT imaging, based on previous work, a spatial resolution of about double the x-ray beam size can be achieved using a translate/rotate scanning scheme, taking step sizes equal to the x-ray beam width. To break the current spatial resolution limit, we propose a scanning strategy achieved by reducing the scanning step size to be smaller than the x-ray beam size. We performed four sets of numerical simulations and a phantom experiment using cylindrical phantoms and have demonstrated that our proposed scanning method can greatly improve the XLCT-reconstructed image quality compared with the traditional scanning approach. In our simulations, by using a fixed x-ray beam size of 0.8 mm, we were able to successfully reconstruct six embedded targets as small as 0.5 mm in diameter and with the same edge-to-edge distances by using a scanning step as small as 0.2 mm which is a 1.6 times improvement in the spatial resolution compared with the traditional approach. Lastly, the phantom experiment further demonstrated the efficacy of our proposed method in improving the XLCT image quality, with all image quality metrics improving as the step size decreased.
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