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Down-sampling in diffusion MRI: a bundle-specific DTI and NODDI study.

Federico Spagnolo1, Susanna Gobbi1, Enikő Zsoldos1

  • 1Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, Basel, Switzerland.

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|April 12, 2024
PubMed
Summary
This summary is machine-generated.

Reducing diffusion MRI (dMRI) volumes by up to 30% maintains comparable white matter microstructure metrics from Diffusion Tensor Imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). This optimization significantly shortens acquisition times for neurodegenerative disease research.

Keywords:
DTIMRINODDIacquisition timeneurodegenerative diseases

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Area of Science:

  • Neuroimaging
  • Diffusion Magnetic Resonance Imaging (dMRI)
  • White Matter Microstructure Analysis

Background:

  • Multi-shell dMRI is crucial for characterizing white matter in neurodegenerative diseases.
  • Non-standardized protocols lead to redundant measurements and prolonged scan times.
  • Optimizing dMRI acquisition is essential for large-scale clinical studies.

Purpose of the Study:

  • To investigate the impact of reducing gradient directions on Diffusion Tensor Imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI) metrics.
  • To determine the feasibility of shorter dMRI protocols without compromising data integrity.

Main Methods:

  • Utilized dMRI data from 124 healthy controls across three longitudinal studies.
  • Developed an in-house algorithm to reduce the number of gradient directions per shell.
  • Estimated DTI and NODDI measures on six clinically relevant white matter bundles.

Main Results:

  • Fractional Anisotropy (FA) and Mean Diffusivity (MD) showed minimal median L1 distances (up to 3.92% and 4.31% respectively) at 30% sampling.
  • At 50% sampling, FA and MD exhibited median L1 distances of 3.90% and 5.49% respectively.
  • Intra-Cellular volume fraction (ICvf) showed a median L1 distance of up to 2.83% at 30% sampling.

Conclusions:

  • DTI and NODDI metrics obtained with up to 30% reduction in dMRI volumes are comparable to reference sampling.
  • Optimized protocols using three shells (4, 14, and 32 directions) significantly reduce acquisition time.
  • Findings support the use of reduced dMRI protocols in large-scale clinical studies for bundle-specific diffusion MRI analysis.