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Author

J. Greffier

3 papers indexed here

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Open access Oct 2026

Assessment of image quality and detectability in computed tomography: Inter‐laboratory comparison of Fourier‐based metrics

Abstract Background The task‐based assessment of image quality in computed tomography (CT) is increasingly used for benchmarking, optimizing acquisition and reconstruction parameters, and predicting observers’ performance. To achieve consistent and reproducible results rely on standardized methodologies and guidelines....

P. Monnin, D. Racine, Luis Ammour et al. · 0 citations
Open access Sep 2026

Size‐specific weighted detectability index for computed tomography image characterization

Abstract Background Technological developments in computed tomography (CT) have increased the diversity of acquisition and reconstruction strategies available for clinical imaging. Task‐based image quality metrics that account for patient‐size variability are needed to characterize reconstructed image performance and s...

Isabelle Fitton, J. Greffier, D. Dabli et al. · 0 citations
Open access Aug 2026

Ultra-low dose chest-abdomen-pelvis CT with deep-learning image reconstruction for cancer follow-up: Impact on image quality and lesion detection.

PURPOSE The purpose of this study was to compare the image quality and lesion detection between ultra-low dose (ULD) chest-abdomen-pelvis computed tomography (CAP-CT) reconstructed with a deep-learning image reconstruction (DLR) algorithm, and standard-dose CT (STD-CT) in cancer follow-up. MATERIALS AND METHODS A tot...

F. de Oliveira, Sinda Ghabri, Souha Benhalilou et al. · 0 citations

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