ArticleNeuroImage2017
Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Diffusion-relaxation MRI as virtual histology: separable microstructural signatures of AD pathology in ex vivo human brain.Research square · 2026Article
- Phantom- and simulation-based validation of combined diffusion relaxometry in ex vivo ADRD white matter.bioRxiv : the preprint server for biology · 2026Article
- Separable multidimensional MRI signatures of cellular and structural pathology in Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- Data-driven classification of tissue water populations by massively multidimensional diffusion-relaxation correlation MRI.Frontiers in neuroscience · 2026Article
- Data Processing in Multidimensional MRI For Biomarker Identification: Is It Necessary?bioRxiv : the preprint server for biology · 2025Article
- QSI and DTI of Inherited White Matter Disorders in Rat Spinal Cord: Early Detection and Comparison with Quantitative Electron Microscopy Findings.Diagnostics (Basel, Switzerland) · 2025Article
- Multidimensional MRI reveals cortical astrogliosis linked to dementia in Alzheimer's disease.Brain communications · 2025Article
- Joint estimation of compartment-specific TMagnetic resonance in medicine · 2025Article
- In vivo rat brain mapping of multiple gray matter water populations using nonparametric D(ω)-RNMR in biomedicine · 2025Article
- MRI-based virtual pathology of the prostate.Magma (New York, N.Y.) · 2024Review
- In vivo disentanglement of diffusion frequency-dependence, tensor shape, and relaxation using multidimensional MRI.Human brain mapping · 2024Article
- Variability of multidimensional diffusion-relaxation MRI estimates in the human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Mapping astrogliosis in the individual human brain using multidimensional MRI.Brain : a journal of neurology · 2023Article
- In Vivo Myelin Water Quantification Using Diffusion-Relaxation Correlation MRI: A Comparison of 1D and 2D Methods.Applied magnetic resonance · 2023Article
- Mapping the individual human cortex using multidimensional MRI and unsupervised learning.Brain communications · 2023Article
- Nonparametric 5D D-RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022Article
- Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.NeuroImage · 2022Review
- COnstrained Reference frame diffusion TEnsor Correlation Spectroscopic (CORTECS) MRI: A practical framework for high-resolution diffusion tensor distribution imaging.Frontiers in neuroscience · 2022Article
- Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.Magnetic resonance in medicine · 2021Review
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Authors and funding
2 authors.
Funding
Abstract
Magnetic resonance imaging (MRI) provides a powerful set of tools with which to investigate biological tissues noninvasively and in vivo. Tissues are heterogeneous in nature; an imaging voxel contains an ensemble of different cells and extracellular matrix components. A long-standing challenge has been to infer the content of and interactions among these microscopic tissue components within a macroscopic imaging voxel. Spatially resolved multidimensional relaxation-diffusion correlation (REDCO) spectroscopy holds the potential to deliver such microdynamic information. However, to date, vast data requirements have mostly relegated these type of measurements to nuclear magnetic resonance applications and prevented them from being widely and successfully used in conjunction with imaging. By using a novel data acquisition and processing strategy in this study, spatially resolved REDCO could be performed in reasonable scanning times with excellent prospects for clinical applications. This new MR imaging framework-which we term "magnetic resonance microdynamic imaging (MRMI)"-permits the simultaneous noninvasive and model-free quantification of multiple subcellular, cellular, and interstitial tissue microenvironments within a voxel. MRMI is demonstrated with a fixed spinal cord specimen, enabling the quantification of microscopic tissue components with unprecedented specificity. Tissue components, such as axons, neuronal and glial soma, and myelin were identified on the basis of their multispectral signature within individual imaging voxels. These tissue elements could then be composed into images and be correlated with immunohistochemistry findings. MRMI provides novel image contrasts of tissue components and a new family of microdynamic biomarkers that could lead to new diagnostic imaging approaches to probe biological tissue alterations accompanied by pathological or developmental changes.
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