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Related Experiment Video

Updated: Jan 14, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
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Interpretation of Diffusion MR Imaging Data Using Non-negative Least Squares (NNLS).

Koichi Oshio1,2, Katsuhiro Sano1, Hiroshi Kusahara3

  • 1Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|October 22, 2025
PubMed
Summary

Interpreting abdominal diffusion images is challenging due to mixed tissues within voxels. This study developed a method using diffusion-weighted imaging to estimate diffusion coefficient (D) distribution, improving image analysis for healthy volunteers.

Keywords:
D spectrumdiffusion magnetic resonance imagingnon-negative least squares

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Radiology

Background:

  • Abdominal diffusion-weighted imaging (DWI) interpretation is complex.
  • Multiple tissue types within a single voxel obscure diffusion coefficient (D) analysis.

Purpose of the Study:

  • To develop a method for estimating the diffusion coefficient (D) distribution within each voxel.
  • To create a visualization technique for D-range images.
  • To assess the method's feasibility in healthy subjects.

Main Methods:

  • Utilized diffusion-weighted images acquired with multiple b-values.
  • Applied non-negative least squares (NNLS) for D-distribution estimation.
  • Developed a novel visualization method displaying D-ranges.

Main Results:

  • Successfully estimated diffusion coefficient (D) distributions within voxels.
  • Generated D-range images for visualization.
  • Validated the method on healthy volunteers.

Conclusions:

  • The developed method enhances the analysis of abdominal diffusion images.
  • D-distribution estimation and visualization improve tissue characterization.
  • This technique shows promise for clinical applications in abdominal MRI.