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17 October 2022 Implementations of statistical reconstruction algorithm for CT scanners with flying focal spot
Robert Cierniak, Jarosław Bilski, Piotr Pluta
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Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230430 (2022) https://doi.org/10.1117/12.2646989
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
This paper presents some practical realizations of image reconstruction methods for spiral cone-beam tomography scanners in which an X-ray tube with a flying focal spot is used. These methods are related to the original formulated 3D statistical model-based iterative reconstruction approach for tomography with flying focal spot. The conception proposed here is based on principles of a statistical model-based iterative reconstruction (MBIR) methodology, where the reconstruction problem is formulated as a shift-invariant system (a continuous-to-continuous data model). We adopted nutating reconstruction-based approaches, i.e. the advanced single slice rebinning methodology (usually applied in CT scanners with X-ray tubes with a flying focal spot), and a procedure compliant with the FDK scheme. We showed that our methods significantly improve the quality of obtained images compared to the traditional FBP algorithms. Consequently, it can allow for a reduction in the x-ray dose absorbed by a patient. Additionally, we show that our approach can be competitive in terms of the time of calculations, especially if we consider commercially used statistical reconstruction systems.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Robert Cierniak, Jarosław Bilski, and Piotr Pluta "Implementations of statistical reconstruction algorithm for CT scanners with flying focal spot", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 1230430 (17 October 2022); https://doi.org/10.1117/12.2646989
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KEYWORDS
Reconstruction algorithms
Scanners
X-ray computed tomography
Computed tomography
Image quality
X-rays
Data modeling
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