Interpretation of Diffusion MR Imaging Data Using Non-negative Least Squares (NNLS)
The interpretation of abdominal diffusion images remains difficult because different types of tissue coexist within each voxel. In this study, we estimated the distribution of the diffusion coefficient (D) within each voxel using non-negative least squares from diffusion-weighted images with multiple b-values. Additionally, a method for visualizing the results as a set of images representing the D ranges was developed. This method was tested on healthy volunteers.
Authors
- Hiroshi Kusahara (ORCID: https://orcid.org/0000-0002-3535-3338)
- Katsuhiro Sano (ORCID: https://orcid.org/0000-0002-8388-3827)
- Koji Kamagata (ORCID: https://orcid.org/0000-0001-5028-218X)
- Shigeki Aoki (ORCID: https://orcid.org/0000-0002-8491-0698)
- Koichi Oshio
Institutions
- Canon (Japan) (JP)
- Central Institute for Experimental Animals (JP)
- Juntendo University (JP)
- Canon Medical Systems Corporation (Japan) (JP)
Publication Details
- Journal
- Magnetic Resonance in Medical Sciences
- Published
- 2025-10-22
- DOI
- https://doi.org/10.2463/mrms.tn.2024-0210
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science