18 March 2015 Modelling the channel-wise count response of a photon-counting spectral CT detector to a broad x-ray spectrum
Author Affiliations +
Abstract
Variations among detector channels in CT very sensitively lead to ring artefacts in the reconstructed images. For material decomposition in the projection domain, the variations can result in intolerable biases in the material line integral estimates. A typical way to overcome these effects is to apply calibration methods that try to unify spectral responses from different detector channels to an ideal response from a detector model. However, the calibration procedure can be rather complex and require excessive calibration measurements for a multitude of combinations of x-ray shapes, tissue combinations and thicknesses. In this paper, we propose a channel-wise model for a multibin photon-counting detector for spectral CT. Predictions of this channel-wise model match well with their physical performances, which can thus be used to eliminate ring artefacts in CT images and achieve projection-basis material decomposition. In an experimental validation, image data show significant improvement with respect to ring artefacts compared to images calibrated with flat-fielding data. Projection-based material decomposition gives basis material images showing good separation among individual materials and good quantification of iodine and gadolinium contrast agents. The work indicates that the channel-wise model can be used for quantitative CT with this detector.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuejin Liu, Xuejin Liu, Han Chen, Han Chen, Hans Bornefalk, Hans Bornefalk, Mats Danielsson, Mats Danielsson, Staffan Karlsson, Staffan Karlsson, Mats Persson, Mats Persson, Cheng Xu, Cheng Xu, Ben Huber, Ben Huber, } "Modelling the channel-wise count response of a photon-counting spectral CT detector to a broad x-ray spectrum", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941215 (18 March 2015); doi: 10.1117/12.2081776; https://doi.org/10.1117/12.2081776
PROCEEDINGS
15 PAGES


SHARE
Back to Top