Reduced cross‐scanner variability using vendor‐agnostic sequences for single‐shell diffusion MRI

Author:

Liu Qiang12ORCID,Ning Lipeng1,Shaik Imam Ahmed1,Liao Congyu3ORCID,Gagoski Borjan45ORCID,Bilgic Berkin467ORCID,Grissom William8,Nielsen Jon‐Fredrik9,Zaitsev Maxim10,Rathi Yogesh1

Affiliation:

1. Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA

2. School of Biomedical Engineering Southern Medical University Guangzhou China

3. Department of Radiology Stanford University Stanford California USA

4. Department of Radiology Harvard Medical School Boston Massachusetts USA

5. Fetal‐Neonatal Neuroimaging & Developmental Science Center Boston Children's Hospital Boston Massachusetts USA

6. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Boston Massachusetts USA

7. Harvard/MIT Health Sciences and Technology Cambridge Massachusetts USA

8. Department of Biomedical Engineering Case School of Medicine, Case Western Reserve University Cleveland Ohio USA

9. Functional MRI Laboratory, Department of Radiology University of Michigan Ann Arbor Michigan USA

10. Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany

Abstract

AbstractPurposeTo 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.

Funder

National Institute of Mental Health

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

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