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A vendor-neutral functional MRI acquisition protocol for multi-site studies
Jon-Fredrik Nielsen1,2, Maximillian K Egan1, Qingping Chen3
1Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, USA.
Aperture Neuro
|June 17, 2026
Summary
We developed an open, vendor-neutral BOLD SMS-EPI protocol using Pulseq for multi-site fMRI studies. This standardized approach ensures consistent imaging across vendors, reducing site variance and enhancing reproducible research.
Area of Science:
- Neuroimaging
- Magnetic Resonance Imaging (MRI)
- Biomedical Engineering
Background:
- Multi-site fMRI studies face challenges with data consistency due to vendor-specific hardware and software.
- Conventional vendor-specific acquisition and reconstruction pipelines lead to experimental variability across research sites.
- Standardization is crucial for improving the reproducibility and reliability of large-scale neuroimaging research.
Purpose of the Study:
- To introduce an open, vendor-neutral BOLD SMS-EPI protocol for multi-site fMRI studies.
- To provide a standardized alternative to vendor-specific MRI acquisition and reconstruction pipelines.
- To ensure identical SMS-EPI pulse sequences and image reconstruction across different scanner vendors.
Main Methods:
- Utilized the Pulseq framework, an open-source standard for cross-platform MRI pulse sequence development.
- Implemented a vendor-neutral simultaneous multi-slice echo-planar imaging (SMS-EPI) protocol.
- Validated the protocol using resting-state fMRI data from healthy volunteers on Siemens and GE scanners.
Main Results:
- Demonstrated identical SMS-EPI pulse sequences and image reconstruction across multiple scanner vendors.
- Showcased reduced site variance in resting-state fMRI data compared to vendor-specific protocols.
- Confirmed consistent experimental conditions across different sites and scanner software versions.
Conclusions:
- The developed Pulseq-based SMS-EPI protocol offers a standardized solution for multi-site fMRI research.
- This approach enhances data reproducibility by minimizing scanner-related variability.
- The protocol serves as a foundation for future advancements in MRI acquisition and reconstruction techniques.

