2 papers
physics.med-ph2026
Real-time, inline quantitative MRI enabled by scanner-integrated machine learning: a proof of principle with NODDI
Samuel Rot, Iulius Dragonu, Christina Triantafyllou +11
Purpose: The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to 'research mode', due to resource-intensi…
physics.med-ph2025
From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform
Zihan Ning, Yannick Brackenier, Sarah McElroy +23
Purpose: To develop and validate a practical framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) delay from lengthy rec…