Impact of a prototype, dedicated AI‐based spectral image reconstruction algorithm on the quality of low‐keV virtual monoenergetic images and iodine maps: A phantom study

Compared to the HIR algorithm used in clinical practice for low-keV VMIs, Standard, Smooth and Smoother levels of SAIR reduced image noise and improved the detectability of contrast-enhanced lesions. Better noise texture was found only with the Standard and Smooth levels compared to HIR.

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Publication Details

Journal
Medical Physics
Published
2025-11-20
DOI
https://doi.org/10.1002/mp.70093
Primary Topic
Advanced X-ray and CT Imaging
Type
article
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article

Impact of a prototype, dedicated AI‐based spectral image reconstruction algorithm on the quality of low‐keV virtual monoenergetic images and iodine maps: A phantom study

Philippe Coulon, Djamel Dabli, Jean-Paul Bérégi, Nicolas Rossetto et al.
Medical Physics
Advanced X-ray and CT Imaging
article

Impact of a prototype, dedicated AI‐based spectral image reconstruction algorithm on the quality of low‐keV virtual monoenergetic images and iodine maps: A phantom study

Philippe Coulon, Djamel Dabli, Jean-Paul Bérégi, Nicolas Rossetto, Maxime Pastor, Joël Greffier, Elodie Dhombres
article en

Abstract

Compared to the HIR algorithm used in clinical practice for low-keV VMIs, Standard, Smooth and Smoother levels of SAIR reduced image noise and improved the detectability of contrast-enhanced lesions. Better noise texture was found only with the Standard and Smooth levels compared to HIR.

Medical PhysicsVol. 52(12)
Université de Montpellier (FR), Philips (France) (FR), Université de Nîmes (FR)
Openalex Percentile: Top 65%
Advanced X-ray and CT Imaging
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