Contribution of a new super-resolution deep-learning image reconstruction algorithm coupled with an extended matrix to cardiac CT image quality

Elsevier

Available online 3 July 2025

Diagnostic and Interventional ImagingAuthor links open overlay panel, , , , Section snippetsAuthors contributions

All authors attest that they meet the current International Committee of Medical Journal Editors (ICMJE) criteria for Authorship.

CRediT authorship contribution statement

Joël Greffier: Conceptualization, Investigation, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing. Djamel Dabli: Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing. Fabien de Oliveira: Writing – original draft, Writing – review & editing. Jean-Paul Beregi: Supervision, Writing – original draft, Writing – review & editing. Mickaël Ohana: Conceptualization, Investigation, Methodology, Supervision,

Declaration of competing interest

Mickael Ohana reports a relationship with Canon Medical Systems that includes speaking and lecture fees. Other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Human and animal rights

Not applicable for phantom studies.

Informed consent and patient details

Not applicable for phantom studies.

Funding

This study did not receive specific funding.

References (7)

There are more references available in the full text version of this article.

View full text

© 2025 Société française de radiologie. Published by Elsevier Masson SAS. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Comments (0)

No login
gif