ArticleScientific reports2018
Integrated and efficient diffusion-relaxometry using ZEBRA.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
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- Toward Super-Resolution Reconstruction of Diffusion-Relaxation MRI Using Slice Excitation With Random Overlap (SERO).Magnetic resonance in medicine · 2026Article
- Diffusion-relaxation MRI as virtual histology: separable microstructural signatures of AD pathology in ex vivo human brain.Research square · 2026Article
- Spatial Image Gradient Estimation From the Diffusion MRI Profile.Magnetic resonance in medicine · 2026Article
- Separable multidimensional MRI signatures of cellular and structural pathology in Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- Spatial image gradient estimation from the diffusion MRI profile.bioRxiv : the preprint server for biology · 2025Article
- Simultaneous liver TMagnetic resonance in medicine · 2025Article
- NMR Relaxometry Across Time: From Early Insights to Emerging Directions.Magnetic resonance in chemistry : MRC · 2025Article
- Maximum-entropy and subspace methods for high-resolution relaxation-diffusion distribution estimation.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- DeepEMC-TMagnetic resonance in medicine · 2024Article
- Time-division multiplexing (TDM) sequence removes bias in TMagnetic resonance in medicine · 2024Article
- Placental multimodal MRI prior to spontaneous preterm birth <32 weeks' gestation: An observational study.BJOG : an international journal of obstetrics and gynaecology · 2024Observational
- Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements.bioRxiv : the preprint server for biology · 2024Article
- Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease.Scientific reports · 2024Article
- Maximizing SNR per unit time in diffusion MRI with multiband T-Hex spirals.Magnetic resonance in medicine · 2024Article
- Advanced magnetic resonance imaging detects altered placental development in pregnancies affected by congenital heart disease.Research square · 2024Article
- Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI.Placenta · 2023Article
- Assessing within-subject rates of change of placental MRI diffusion metrics in normal pregnancy.Magnetic resonance in medicine · 2023Article
- The impact of head orientation with respect to BImaging neuroscience (Cambridge, Mass.) · 2023Article
- Multi-readout DWI with a reduced FOV for studying the coupling between diffusion andMagnetic resonance in medicine · 2023Article
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Authors and funding
9 authors.
Funding
Abstract
The emergence of multiparametric diffusion models combining diffusion and relaxometry measurements provides powerful new ways to explore tissue microstructure, with the potential to provide new insights into tissue structure and function. However, their ability to provide rich analyses and the potential for clinical translation critically depends on the availability of efficient, integrated, multi-dimensional acquisitions. We propose a fully integrated sequence simultaneously sampling the acquisition parameter spaces required for T1 and T2* relaxometry and diffusion MRI. Slice-level interleaved diffusion encoding, multiple spin/gradient echoes and slice-shuffling are combined for higher efficiency, sampling flexibility and enhanced internal consistency. In-vivo data was successfully acquired on healthy adult brains. Obtained parametric maps as well as clustering results demonstrate the potential of the technique to provide eloquent data with an acceleration of roughly 20 compared to conventionally used approaches. The proposed integrated acquisition, which we call ZEBRA, offers significant acceleration and flexibility compared to existing diffusion-relaxometry studies, and thus facilitates wider use of these techniques both for research-driven and clinical applications.
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