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28 May 2019 Statistical iterative reconstruction for spectral phase contrast CT
Korbinian Mechlem, Thorsten Sellerer, Julia Herzen, Franz Pfeiffer
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Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 1107207 (2019) https://doi.org/10.1117/12.2534850
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
Recently, we have investigated a new algorithm for combining grating-based differential phase contrast radiography and spectral radiography. The algorithm extracts two basis material images and a dark-field image by simultaneously using the spectral and the phase contrast information. Numerical simulations have shown that the combination of these two imaging methods benefits from the strengths of the individual methods while the weaknesses are mitigated. Quantitatively accurate basis material images are obtained and the additional phase shift information leads to highly reduced basis material image noise levels compared to conventional spectral material decomposition. In this work, we extend our approach to spectral phase contrast CT by developing a one-step statistical iterative reconstruction algorithm. In numerical simulations, we demonstrate the potential for further dose reductions as well as the possibility of eliminating the time-consuming phase stepping procedure which is incompatible with a continuously rotating gantry.
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Korbinian Mechlem, Thorsten Sellerer, Julia Herzen, and Franz Pfeiffer "Statistical iterative reconstruction for spectral phase contrast CT", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 1107207 (28 May 2019); https://doi.org/10.1117/12.2534850
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KEYWORDS
Phase contrast
Reconstruction algorithms
X-ray imaging
Numerical simulations
Photon counting
X-ray computed tomography
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