ArticleScientific data2016
Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast.
Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- gKFA: a geometric framework for kurtosis fractional anisotropy.Scientific reports · 2026Article
- Simulation-based inference at the theoretical limit for fast, robust microstructural MRI with minimal diffusion data.Communications medicine · 2026Article
- Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging.Magnetic resonance in medicine · 2025Review
- Feasibility of in vivo multi-parametric quantitative magnetic resonance imaging of the healthy sciatic nerve with a unified signal readout protocol.Scientific reports · 2023Article
- Optimization of quasi-diffusion magnetic resonance imaging for quantitative accuracy and time-efficient acquisition.Magnetic resonance in medicine · 2022Article
- Optimization of scan parameters to reduce acquisition time for RESOLVE-based diffusion kurtosis imaging (DKI) in nasopharyngeal carcinoma (NPC).The British journal of radiology · 2022Article
- Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project.Frontiers in human neuroscience · 2021Article
- Evaluating the Reliability of Human Brain White Matter Tractometry.Aperture neuro · 2021Article
- Diffusion Kurtosis Imaging as a Tool in Neurotoxicology.Neurotoxicity research · 2020Article
- An Introduction to Kurtosis Fractional Anisotropy.AJNR. American journal of neuroradiology · 2019Review
- Automatic Verification of the Gradient Table in Diffusion-Weighted MRI Based on Fiber Continuity.Scientific reports · 2018Article
- Precision and accuracy of diffusion kurtosis estimation and the influence of b-value selection.NMR in biomedicine · 2017Article
- White matter biomarkers from fast protocols using axially symmetric diffusion kurtosis imaging.NMR in biomedicine · 2017Article
- Diffusion Kurtosis Imaging of Microstructural Alterations in the Brains of Paediatric Patients with Congenital Sensorineural Hearing Loss.Scientific reports · 2017Article
- Exploring the Potential of Machine Learning Algorithms to Improve Diffusion Nuclear Magnetic Resonance Imaging Models Analysis.Journal of medical physicsArticle
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
Here we describe and provide diffusion magnetic resonance imaging (dMRI) data that was acquired in neural tissue and a physical phantom. Data acquired in biological tissue includes: fixed rat brain (acquired at 9.4 T) and spinal cord (acquired at 16.4 T) and in normal human brain (acquired at 3 T). This data was recently used for evaluation of diffusion kurtosis imaging (DKI) contrasts and for comparison to diffusion tensor imaging (DTI) parameter contrast. The data has also been used to optimize b-values for ex vivo and in vivo fast kurtosis imaging. The remaining data was obtained in a physical phantom with three orthogonal fiber orientations (fresh asparagus stems) for exploration of the kurtosis fractional anisotropy. However, the data may have broader interest and, collectively, may form the basis for image contrast exploration and simulations based on a wide range of dMRI analysis strategies.
Indexed as
Identifiers
What OpenQuestion holds
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.