ArticleMedical physics2025
Distortion-free steady-state diffusion-weighted imaging with magnetic resonance fingerprinting.
Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Quantitative magnetic resonance imaging for accurate delineation of radiotherapy: a narrative review.Translational cancer research · 2026Review
- Modelling Motion-Induced Signal Corruption in Steady-State Diffusion MRI.Magnetic resonance in medicine · 2026Article
- Distortion-free steady-state diffusion-weighted imaging with magnetic resonance fingerprinting.Medical physics · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundMagnetic resonance fingerprinting (MRF) could provide joint T1, T2, and proton density mapping. Measuring diffusion encoding using the MRF framework is promising, given its capacity to generate self-aligned quantitative maps and contrast-weighted images from a single scan. It could avoid potential errors that arise from the registration of multiple MRI images and reduce the total scan time. However, the application of a strong diffusion gradient on the MRF sequence results in phase inconsistency between acquisitions, which could corrupt the reconstructed images. PURPOSE: To propose a distortion-free diffusion-weighted imaging module for MRF (DWI-MRF) method using a self-navigated subspace reconstruction on k-space data obtained from a dual-density spiral trajectory.
methodsThe proposed sequence consisted of two segments: inversion prepared steady-state free precession MRF for the first 800 time points and diffusion-weighted imaging (DWI) with two nominal b-values of 0 and 800 s/mm
resultsOur method's T1, T2, and ADC values agreed reasonably with the reference values, with a slope of 0.88, 0.94, and 1.04 for T1, T2, and ADC, and an R
conclusionsThe proposed method was free of artifacts from cardiac pulsation and generated pixel-wise correspondent T1, T2, and ADC maps on both phantom and in vivo images.
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Registered trials
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