From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform

作者：Zihan Ning, Yannick Brackenier, Sarah McElroy, Sara Neves Silva, Lucilio Cordero‐Grande, Samuel Rot, Liane S. Canas, Rebecca Thornley, David Leitão, Davide Poccecai, Andrew Cantell, Rene Kerosi, Anthony N. Price, Jon O. Cleary, D Tournier, Jana Hutter, Philippa Bridgen, Pierluigi Di Ciò, Michela Cleri, Inka Granlund, Lucy Billimoria, Yasmin Blunck, Shaihan Malik, Dr Marc Modat, Sebastien Ourselin, Claire J. Steves, Joseph V. Hajnal · 发表于：Magnetic Resonance in Medicine · 年份：2026 · DOI：10.1002/mrm.70304 · 被引用次数：1 · 研究领域：Advanced MRI Techniques and Applications、Medical Imaging Techniques and Applications、Advanced Radiotherapy Techniques

PURPOSE: To develop and validate a practical, open-source framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) scan disruption from lengthy reconstructions, (2) limited support for multi-scan input reconstructions, (3) needs to adapt scripts for different raw-data formats, and (4) limited guidance and experience in retaining scanner reconstructions and applying scanner-based post-processing to custom-reconstructed images. METHODS: The framework builds upon the Gadgetron platform as implemented on Siemens scanners and includes: (1) a general input converter to convert Gadgetron-used ISMRMRD format raw into a Siemens format raw structure, facilitating reuse of code; (2) an asynchronous trigger-and-retrieve mechanism enabling long custom reconstructions without delaying scanner processes; (3) resource-aware scheduling for parallel execution of reconstructions; (4) integrated file management to support multi-scan inputs; and (5) preservation of scanner-based reconstructions and post-processing. The framework was validated on 2 Siemens scanners for SENSE, AlignedSENSE, and NUFFT reconstructions, and in a large-cohort study. RESULTS: Minimum code modification for inline deployment was demonstrated, and all reconstructions were successfully executed inline without disrupting scanner workflows. Images were retrieved automatically via retrieval scans or manually via retro-reconstruction, with scanner-based post-processing app...