Comparison of spectral performance of three dual-energy CT scanners equipped with a deep-learning image reconstruction algorithm and one photon counting CT scanner: A phantom study.

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Title: Comparison of spectral performance of three dual-energy CT scanners equipped with a deep-learning image reconstruction algorithm and one photon counting CT scanner: A phantom study.
Authors: Greffier J; IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30900 Nîmes, France., Salvat C; Radiation Protection and Medical Physics Department, Hôpital Lariboisière, AP-HP, Université Paris Cité, 75010 Paris, France., Pastor M; IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30900 Nîmes, France., Bousson V; Department of Radiology, Hôpital Lariboisière-Fernand Widal, AP-HP, Université Paris Cité, 75010 Paris, France., Si-Mohamed S; Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, INSERM, CREATIS UMR 5220, U1206, 69100 Villeurbanne, France; Department of Radiology, Hôpital Louis Pradel, Hospices Civils de Lyon, 69677, Bron, France., Beregi JP; IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30900 Nîmes, France., Hadid-Beurrier L; Radiation Protection and Medical Physics Department, Hôpital Lariboisière, AP-HP, Université Paris Cité, 75010 Paris, France., Dabli D; IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30900 Nîmes, France.
Source: Diagnostic and interventional imaging [Diagn Interv Imaging] 2026 Jun; Vol. 107 (6), pp. 220-228. Date of Electronic Publication: 2025 Nov 29.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Masson Country of Publication: France NLM ID: 101568499 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2211-5684 (Electronic) Linking ISSN: 22115684 NLM ISO Abbreviation: Diagn Interv Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2211-5684
DOI:10.1016/j.diii.2025.11.007