arXiv (All)
open access
Towards Sustainable Magnetic Resonance Imaging: Insights from long-term, high-resolution energy recordings across an entire scanner fleet
Magnetic resonance imaging (MRI) is among the most energy-intensive diagnostic modalities in healthcare, yet its energy consumption and the factors influencing it remain insufficiently understood. This study aims to establish a comprehensive baseline of MRI energy consumption by characterizing energ
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
- Research and Development of Novel Quantitative Magnetic Resonance Imaging (MRI) Techniques in a Single Scan for Multiple Organ Application#867427
- Gadolinium and Ferumoxytol MRI in Diagnosing Patients With Abnormalities in the Central Nervous System#868098
- Gastric Emptying Validation Pilot Study (MRI Val)#1075770
- Optimizing Liver MRI Using Breath-Holding With and Without Oxygen#1074681
- Non-invasive Quantification of Liver Iron With MRI#843845
Record · ID 1051643
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