ArticleProceedings of SPIE--the International Society for Optical Engineering2020
Combining Spectral CT Acquisition Methods for High-Sensitivity Material Decomposition.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Efficient spectral data reduction for accurate iodine quantification in multi-energy CT.Scientific reports · 2025Article
- Hybrid Spectral CT: Combining rapid kVp-switching and dual-layer detectors for high sensitivity iodine imaging.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2024Article
- Hybrid spectral CT system with clinical rapid kVp-switching x-ray tube and dual-layer detector for improved iodine quantification.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Design Optimization of Spatial-Spectral Filters for Cone-Beam CT Material Decomposition.IEEE transactions on medical imaging · 2022Article
- Spectral CT using a fine grid structure and varying x-ray incidence angle.Medical physics · 2021Article
- A prototype spatial-spectral CT system for material decomposition with energy-integrating detectors.Medical physics · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Quantitative estimation of contrast agent concentration is made possible by spectral CT and material decomposition. There are several approaches to modulate the sensitivity of the imaging system to obtain the different spectral channels required for decomposition. Spectral CT technologies that enable this varied sensitivity include source kV-switching, dual-layer detectors, and source-side filtering (e.g., tiled spatial-spectral filters). In this work, we use an advanced physical model to simulate these three spectral CT strategies as well as hybrid acquisitions using all combinations of two or three strategies. We apply model-based material decomposition to a water-iodine phantom with iodine concentrations from 0.1 to 5.0 mg/mL. We present bias-noise plots for the different combinations of spectral techniques and show that combined approaches permit diversity in spectral sensitivity and improve low concentration imaging performance relative to the those strategies applied individually. Better ability to estimate low concentrations of contrast agent has the potential to reduce risks associated with contrast administration (by lowering dosage) or to extend imaging applications into targets with much lower uptake.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.