ArticleNeuroImage2021
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Human In Vivo Validation of Frequency-Dependent QTI.Magnetic resonance in medicine · 2026Article
- Tensor-Valued Diffusion MRI for Microstructural Assessment During Stereotactic Radiotherapy of Brain Metastases: A Feasibility Study.Tomography (Ann Arbor, Mich.) · 2026Article
- Geometry of the cumulant series in diffusion MRI.Nature communications · 2026Article
- Analysis of cortical dysplasias using b-tensor encoding diffusion MRI in an animal model.PloS one · 2026Article
- Myelin water and tensor-valued diffusion imaging: (How) are they related?Magnetic resonance in medicine · 2025Article
- A novel approach in MRI signal processing for unveiling the intricacies of brain axonal organization.Physical and engineering sciences in medicine · 2025Article
- Microstructure-informed brain tissue classification using clustering of quantitative MRI measures.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Cardiac q-space trajectory imaging by motion-compensated tensor-valued diffusion encoding in human heart in vivo.Magnetic resonance in medicine · 2023Article
- Diffusivity-limited q-space trajectory imaging.Magnetic resonance letters · 2023Article
- Optimal experimental design and estimation for q-space trajectory imaging.Human brain mapping · 2023Article
- MRI with generalized diffusion encoding reveals damaged white matter in patients previously hospitalized for COVID-19 and with persisting symptoms at follow-up.Brain communications · 2023Article
- Differentiation of white matter histopathology using b-tensor encoding and machine learning.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Q-space trajectory imaging (QTI) enables the estimation of useful scalar measures indicative of the local tissue structure. This is accomplished by employing generalized gradient waveforms for diffusion sensitization alongside a diffusion tensor distribution (DTD) model. The first two moments of the underlying DTD are made available by acquisitions at low diffusion sensitivity (b-values). Here, we show that three independent conditions have to be fulfilled by the mean and covariance tensors associated with distributions of symmetric positive semidefinite tensors. We introduce an estimation framework utilizing semi-definite programming (SDP) to guarantee that these conditions are met. Applying the framework on simulated signal profiles for diffusion tensors distributed according to non-central Wishart distributions demonstrates the improved noise resilience of QTI+ over the commonly employed estimation methods. Our findings on a human brain data set also reveal pronounced improvements, especially so for acquisition protocols featuring few number of volumes. Our method's robustness to noise is expected to not only improve the accuracy of the estimates, but also enable a meaningful interpretation of contrast in the derived scalar maps. The technique's performance on shorter acquisitions could make it feasible in routine clinical practice.
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.