ArticleMagnetic resonance letters2023
Diffusivity-limited q-space trajectory imaging.
Article in Magnetic resonance letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Human In Vivo Validation of Frequency-Dependent QTI.Magnetic resonance in medicine · 2026Article
- Denoising strategies for higher resolution Q-space trajectory imaging with limited scanner hardware.Magma (New York, N.Y.) · 2026Article
- 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
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Authors and funding
5 authors.
Funding
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Abstract
Q-space trajectory imaging (QTI) allows non-invasive estimation of microstructural features of heterogeneous porous media via diffusion magnetic resonance imaging performed with generalised gradient waveforms. A recently proposed constrained estimation framework, called QTI+, improved QTI's resilience to noise and data sparsity, thus increasing the reliability of the method by enforcing relevant positivity constraints. In this work we consider expanding the set of constraints to be applied during the fitting of the QTI model. We show that the additional conditions, which introduce an upper bound on the diffusivity values, further improve the retrieved parameters on a publicly available human brain dataset as well as on data acquired from healthy volunteers using a scanner-ready protocol.
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