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Author

A. Perkins

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3 papers indexed here

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Open access Sep 2026

Deep Learning Reconstruction versus Hybrid Iterative Reconstruction for Spectral CT: A Multi-Institutional Image Quality Assessment

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. · 0 citations
Open access Aug 2026

Experimental hybrid spectral CT with Cramer-Rao lower bound-optimized weighting for quantitative iodine imaging

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. · 0 citations
Open access Aug 2026

Dual‐view scout scans with deep learning for ultra‐low dose attenuation correction in PET

Current deep learning methods use non‐attenuation corrected (NAC) PET data to predict CT‐like or directly AC‐PET images, but their dependence on emission characteristics limits generalizability across tracers and anatomical coverage.

Florence M. Muller, M. Daube-Witherspoon, M. J. Parma et al. · 0 citations

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