ArticleMagnetic resonance in medicine2018
Incomplete initial nutation diffusion imaging: An ultrafast, single-scan approach for diffusion mapping.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Complementarity of BOLD and ADC-fMRI in Mapping Brain Visual Processing in the Rat.NMR in biomedicine · 2026Article
- Somatosensory-evoked response induces extensive diffusivity and kurtosis changes associated with neural activity in rodents.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- MR Fingerprinting with b-Tensor Encoding for Simultaneous Quantification of Relaxation and Diffusion in a Single Scan.Magnetic resonance in medicine · 2022Article
- Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding.Frontiers in neuroscience · 2022Article
- Gradient waveform design for tensor-valued encoding in diffusion MRI.Journal of neuroscience methods · 2021Review
- Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems.PloS one · 2019Article
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Authors and funding
2 authors.
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Abstract
purposeDiffusion MRI is confounded by the need to acquire at least two images separated by a repetition time, thereby thwarting the detection of rapid dynamic microstructural changes. The issue is exacerbated when diffusivity variations are accompanied by rapid changes in T
methodsA general methodology termed incomplete initial nutation diffusion imaging (INDI), capturing two diffusion contrasts in a single shot, is presented. This methodology creates a longitudinal magnetization reservoir that facilitates the successive acquisition of two images separated by only a few milliseconds. The theory behind INDI is presented, followed by proof-of-concept studies in water phantom, ex vivo, and in vivo experiments at 16.4 and 9.4 T.
resultsMean diffusivities extracted from INDI were comparable with diffusion tensor imaging and the two-shot isotropic diffusion encoding in the water phantom. In ex vivo mouse brain tissues, as well as in the in vivo mouse brain, mean diffusivities extracted from conventional isotropic diffusion encoding and INDI were in excellent agreement. Simulations for signal-to-noise considerations identified the regimes in which INDI is most beneficial.
conclusionsThe INDI method accelerates diffusion MRI acquisition to single-shot mode, which can be of great importance for mapping dynamic microstructural properties in vivo without T
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