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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Effect of a consistent reconstruction algorithm on inter-scanner reproducibility in diffusion MRI.

Qiang Liu^1,2, Ante Zhu³, Xiaoqing Wang⁴

¹College of Engineering, Northeastern University, Boston, Massachusetts, USA.

Medical Physics

|October 28, 2025

Summary

This summary is machine-generated.

Consistent reconstruction algorithms reduced inter-scanner variability in fractional anisotropy (FA) but not mean diffusivity (MD) in diffusion MRI (dMRI). Harmonization at the acquisition level is needed for robust cross-vendor comparability in dMRI studies.

Keywords:

Split‐GRAPPA dMRI harmonization diffusion MRI inter‐scanner microstructure reproducibility tractography

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Area of Science:

Neuroimaging
Medical Physics

Background:

Diffusion MRI (dMRI) is crucial for non-invasive brain microstructure and connectivity analysis.
Multi-center studies face reproducibility challenges due to inter-scanner variability from hardware, protocols, and reconstruction.
The impact of consistent reconstruction algorithms on inter-scanner reproducibility is largely unexplored.

Purpose of the Study:

To evaluate the impact of consistent reconstruction algorithms on cross-vendor, inter-scanner reproducibility in dMRI microstructure and tractography measures.
Assessing the effect of different reconstruction methods on variability in diffusion MRI data.

Main Methods:

Used identical single-shell dMRI protocols on two 3T scanners (Siemens Prisma, GE Premier).
Assessed three reconstruction methods: vendor-provided (Product), Split-GRAPPA, and L1-ESPIRiT.
Evaluated microstructure (FA, MD) and tractography (streamlines, wDice) measures for within- and inter-scanner variability.

Main Results:

Offline Split-GRAPPA significantly reduced inter-scanner variability in fractional anisotropy (FA) compared to the vendor-provided method (p < 0.001).
Mean diffusivity (MD) and tractography measures showed similar inter-scanner variability across reconstruction methods.
Inter-scanner variability remained significantly higher than within-scanner variability for both microstructural and tractography measures.

Conclusions:

The Split-GRAPPA reconstruction algorithm improved inter-scanner FA reproducibility but not MD reproducibility.
Consistent reconstruction algorithms with matched acquisition parameters did not enhance overall cross-vendor reproducibility in dMRI.
Further harmonization at the acquisition level (e.g., sequences) is essential for robust cross-vendor comparability in dMRI studies.