ArticleScientific data2025
A relaxation-diffusion MRI dataset of aging mouse brains at 9.4 Tesla.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- A relaxation-diffusion MRI dataset of aging mouse brains at 9.4 Tesla.Scientific data · 2025Article
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7 authors.
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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.
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