Objectives: To evaluate the feasibility of in vivo gadolinium K-edge imaging on a clinical dual-source photon-counting CT (PCCT) system in a porcine model and to assess its performance for dynamic contrast-enhanced imaging, functional biliary imaging, and dual-contrast (bi-phasic) imaging. Materials and Methods: A sing...
M. V. Rybertt, L.-P. Liu, P. Sahbaee et al.· medRxiv· 0 citations
Objectives: To characterize image noise, lesion contrast, spatial resolution, and attenuation distribution for deep learning reconstruction (DLR) compared with hybrid iterative reconstruction (IR) in ultra-high-resolution (UHR) photon-counting CT (PCCT) of the lung, using a patient-derived 3D-printed phantom, and to ap...
K. Mei, L. Roshkovan, L.-P. Liu et al.· medRxiv· 0 citations
Purpose: To compare image quality between deep learning reconstruction and hybrid iterative reconstruction for conventional and virtual monoenergetic images derived from the same spectral CT examinations. Methods and Materials: This retrospective, post hoc secondary analysis of a multi-institutional, controlled, blinde...
M. Nazarian, A. Perkins, E. Wong et al.· medRxiv· 0 citations
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