HAL (France)
open access
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
The purpose of this study was to compare the spectral performance of three dual-energy CT (DECT) scanners and one photon-counting CT (PCCT) scanner on virtual monoenergetic images (VMIs) at low-energy levels and on iodine maps.
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
- Task-Based CT Protocol Optimization Using Reinforcement Learning and Virtual Imaging Trials#1071112
- Accuracy of seven three-dimensional facial scanning systems compared with cone-beam computed tomography: a pilot study.#457462
- Image-Domain Poisson-Perturbation Robustness of NCCT Slice Classification#1335826
- A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans#662306
- A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans#661256
Record · ID 1266500
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive