Conceptio › Archive › HAL (France)
HAL (France) open access

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

Joël Greffier et al.
HAL (France) · Papers
Open Source ↗
computed-tomographyimage-quality
Recently, CT manufacturers have developed deep‐learning‐based reconstruction (DLR) algorithms for conventional and spectral CT images. On dual‐energy CT platforms, DLR algorithms have been developed in particular to reduce image noise in virtual monoenergetic images (VMIs), and to improve the accura
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1399394
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive