ArticleMagnetic resonance in medicine2024
Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI.
Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Assessing Quality and Adherence to PI-RADSv2.1 Minimum Technical Standards of Prostate MRI in NRG-GU005.Journal of magnetic resonance imaging : JMRI · 2026Trial
- An Open-Source, Reproducible MRI Data Acquisition and Reconstruction Workflow Using Pulseq: Multi-Site and Cross-Vendor Validation.Magnetic resonance in medicine · 2026Article
- PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI.Medical image analysis · 2026Article
- The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.Physics in medicine and biology · 2026Review
- Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods.Medical image analysis · 2026Review
- Highly Reproducible, Vendor-Agnostic, Motion-Insensitive Liver PDFF Mapping at 0.55T, 1.5T, and 3T.Magnetic resonance in medicine · 2026Article
- Reproducibility and Reliability of Free-Water-Corrected Diffusion Tensor Imaging of the Brain: Revisited.Human brain mapping · 2026Article
- Cartesian MaxGIRF: Model-based EPI reconstruction incorporating gradient nonlinearity and concomitant field effects.Magnetic resonance in medicine · 2026Article
- What needs to be standardized for reliable, reproducible, and robust tractography?GigaScience · 2026Review
- Effect of a consistent reconstruction algorithm on inter-scanner reproducibility in diffusion MRI.Medical physics · 2025Article
- Vendor-agnostic 3D multiparametric relaxometry improves cross-platform reproducibility.Magnetic resonance in medicine · 2025Article
- Rethinking MRI as a measurement device through modular and portable pipelines.Magma (New York, N.Y.) · 2025Review
- A multi-site, multi-modal travelling-heads resource for brain MRI harmonisation.Scientific data · 2025Article
- The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program.Schizophrenia (Heidelberg, Germany) · 2025Article
- T1 and T2 measurements across multiple 0.55T MRI systems using open-source vendor-neutral sequences.Magnetic resonance in medicine · 2025Article
- Time-division multiplexing (TDM) sequence removes bias in TMagnetic resonance in medicine · 2024Article
- Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeTo reduce the inter-scanner variability of diffusion MRI (dMRI) measures between scanners from different vendors by developing a vendor-neutral dMRI pulse sequence using the open-source vendor-agnostic Pulseq platform.
methodsWe implemented a standard EPI based dMRI sequence in Pulseq. We tested it on two clinical scanners from different vendors (Siemens Prisma and GE Premier), systematically evaluating and comparing the within- and inter-scanner variability across the vendors, using both the vendor-provided and Pulseq dMRI sequences. Assessments covered both a diffusion phantom and three human subjects, using standard error (SE) and Lin's concordance correlation to measure the repeatability and reproducibility of standard DTI metrics including fractional anisotropy (FA) and mean diffusivity (MD).
resultsIdentical dMRI sequences were executed on both scanners using Pulseq. On the phantom, the Pulseq sequence showed more than a 2.5× reduction in SE (variability) across Siemens and GE scanners. Furthermore, Pulseq sequences exhibited markedly reduced SE in-vivo, maintaining scan-rescan repeatability while delivering lower variability in FA and MD (more than 50% reduction in cortical/subcortical regions) compared to vendor-provided sequences.
conclusionThe Pulseq diffusion sequence reduces the cross-scanner variability for both phantom and in-vivo data, which will benefit multi-center neuroimaging studies and improve the reproducibility of neuroimaging studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.