A relaxation-diffusion MRI dataset of aging mouse brains at 9.4 Tesla
Abstract
Relaxation-diffusion MRI (rdMRI) is an advanced imaging technique that acquires diffusion MRI data across multiple echo times (TEs), enabling the disentanglement of relaxation and diffusion effects. This approach offers deeper insights into tissue microstructure, making it especially powerful for studying complex tissue organization and developmental processes. However, the lack of publicly available rdMRI datasets in mouse models has significantly limited its application in preclinical research. Here, we present a high-quality in-vivo rdMRI dataset of aging mouse brains, collected from five different age groups (n = 6 per group) using a 9.4 T ultra-high field MRI scanner. The rdMRI data were acquired at 5 different TEs, with multi-shell diffusion scans at each TE. Each rdMRI dataset was processed through a specialized pipeline, with systematic quality control to ensure the reliability of the data. This dataset provides a foundation for validating and optimizing rdMRI techniques and serves as a valuable resource for investigating age-related structural alterations in the mouse brain.
How strong is the evidence?
Evidence Hub reads this as a dataset, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health. Reported size: 6 participants or records.
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