Aug 2026· Magnetic Resonance in Medicine· Vol 96, pp. 2721 - 2738· 0 citations· 69 references
Medicine
TL;DR
An open-source MRI workflow that harmonizes data acquisition, formatting, and reconstruction across sites and vendors is established, a critical step toward fully open and reproducible MRI, facilitating transparency, standardization, and collaboration across the research community.
Abstract
Reproducibility in MRI is limited by variability in data acquisition, formatting, and reconstruction across sites and vendors. This work aimed to mitigate these challenges through an open‐source, vendor‐independent workflow originally developed for the 2023–24 ISMRM Repeat It with Me: Reproducibility Team Challenge.
This work enables reproducibility of advanced computational MRI methods within a comprehensive end-to-end open-source framework and proves that quantitative MRI methods consisting of acquisition and reconstruction were successfully implemented in BART.
Daniel Mackner, Philip Schaten, Markus Huemer et al.· arXiv.org· 0 citations
In this single-center, single-vendor cohort, the pipeline returned radiologist-acceptable reconstructions within a clinically practical timeframe and Automated fetal MRI SVR was operationally feasible using a DICOM-based, vendor-neutral deployment architecture integrated with routine PACS workflow.
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A practical commissioning workflow to optimize ¹⁷⁷Lu SPECT/CT imaging across different commercial scanner–reconstruction configurations is developed and a practical framework for local ¹⁷⁷Lu SPECT/CT optimization is provided.
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PRIME-SVR is presented, the first implicit neural representation (INR) framework for joint HR reconstruction from multi-echo MRI, which improves reconstruction sharpness, anatomical accuracy, and cross-TE structural consistency by 14%, and accelerates quantitative imaging by reducing the data needed for multi-TE recons...
Busra Bulut, Maik Dannecker, Thomas Sanchez et al.· arXiv.org· 0 citations
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