Experimental dual-kV reconstructions of objects containing metal using the cOSSCIR algorithm

Benjamin M. Rizzo; Emil Y. Sidky; Taly Gilat Schmidt

doi:10.1117/12.2655724

7 April 2023 Experimental dual-kV reconstructions of objects containing metal using the cOSSCIR algorithm

Benjamin M. Rizzo, Emil Y. Sidky, Taly Gilat Schmidt

Proceedings Volume 12463, Medical Imaging 2023: Physics of Medical Imaging; 124634C (2023) https://doi.org/10.1117/12.2655724
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

Metal artifacts in CT reconstructions can negatively a_ect the diagnostic utility of CT imaging, as the degradation of image quality is generally not localized. One approach to addressing metal artifacts involves incorporating accurate models of the x-ray transmission into the inversion procedure. In the constrained one-step spectral CT image reconstruction method (cOSSCIR), the basis material maps are computed directly from spectral transmission measurements using a non-linear spectral model. When applied to the photon-counting problem, cOSSCIR is capable of removing artifacts due to beam hardening, noise, and photon starvation solely using an accurate model of the x-ray spectrum and detector response. In this study we investigate reconstructing experimental dual-kV data corrupted by metal, and present approaches for reducing artifacts within the framework of cOSSCIR.

Citation Download Citation

Benjamin M. Rizzo, Emil Y. Sidky, and Taly Gilat Schmidt "Experimental dual-kV reconstructions of objects containing metal using the cOSSCIR algorithm", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 124634C (7 April 2023); https://doi.org/10.1117/12.2655724

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