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
This work validates a hybrid spectral CT system, comprised of clinical-grade components, acquiring four distinct effective spectra and applying efficient noise-reducing weighting schemes to compare iodine noise and bias against conventional kVp-Switching (kVp-S).
O. Sandvold, R. Proksa, A. Perkins et al.· medRxiv· 0 citations
Abstract Background Accurate attenuation correction (AC) is essential for quantitative positron emission tomography (PET). Conventional CT‐based AC provides reliable attenuation (μ‐) maps but adds radiation, introduces PET/CT misalignment artifacts, and is unavailable on stand‐alone PET systems. Existing deep learning...
Florence M. Muller, M. Daube-Witherspoon, M. J. Parma et al.· Medical Physics (Lancaster)· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.