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
This study aims to evaluate the clinical performance and operational reliability of a fully automated, vendor-neutral imaging informatics pipeline for fetal MRI slice-to-volume reconstruction using open-source Medical Open Network for Artificial Intelligence (MONAI) Deploy Express, DICOM routing, and PACS return. In th...
J. Choi, Bryan Luna, Stephen Clark et al.· Journal of imaging informati...· 0 citations
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.
L. Lampertico, G. Muti, C. Carbonini et al.· Advances in Radiotherapy &a...· 0 citations
Purpose To develop a Field-Correcting GRAPPA (FCG) technique to correct the spatiotemporal-varying phase errors in EPI caused by eddy currents. Methods The fast-changing gradient in EPI causes strong eddy current effects and associated spatiotemporal-varying phase errors, producing significant image artifacts. The use...
Nan Wang, D. Abraham, Zachary Shah et al.· bioRxiv· 0 citations
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.