ArticleScientific data2025
Multi-TE Diffusion MRI Dataset for Exploring Combined Diffusion-Relaxometry Methods in Microstructure Imaging.
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 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Spatial Image Gradient Estimation From the Diffusion MRI Profile.Magnetic resonance in medicine · 2026Article
- Spatial image gradient estimation from the diffusion MRI profile.bioRxiv : the preprint server for biology · 2025Article
- Multi-TE Diffusion MRI Dataset for Exploring Combined Diffusion-Relaxometry Methods in Microstructure Imaging.Scientific data · 2025Article
- Age-dependent diffusion-relaxation coupling in the basal ganglia: Implications for iron deposition and microstructural dynamics.Imaging neuroscience (Cambridge, Mass.)Article
- Microstructure.jl: A Julia package for probabilistic microstructure model fitting with diffusion MRI.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Multi-echo-time (MTE) diffusion MRI (dMRI) offers several advantages over conventional single TE dMRI, including disentanglement of microstructural and compositional differences, reduction of bias in microstructural properties, and addition of sub-cellular T2 measures. However, MTE methods require additional data acquisition and complex model fitting. In this work, we share a comprehensive MTE dMRI dataset acquired from three healthy subjects in ten TE sessions (each with eight TEs: 62-132 ms and repeated measures at the shortest and longest TEs). The dataset includes two b-values (700 and 2000 s/mm
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.