ArticleScientific reports2020
Retaining information from multidimensional correlation MRI using a spectral regions of interest generator.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Frequency-Dependent Diffusion-Relaxation Distribution MRI: Scan-Rescan Reproducibility Ex Vivo and Caveats.NMR in biomedicine · 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
- Multidimensional MRI reveals cortical astrogliosis linked to dementia in Alzheimer's disease.Brain communications · 2025Article
- In vivo disentanglement of diffusion frequency-dependence, tensor shape, and relaxation using multidimensional MRI.Human brain mapping · 2024Article
- Direct segmentation of cortical cytoarchitectonic domains using ultra-high-resolution whole-brain diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Mapping astrogliosis in the individual human brain using multidimensional MRI.Brain : a journal of neurology · 2023Article
- Mapping the individual human cortex using multidimensional MRI and unsupervised learning.Brain communications · 2023Article
- Quantitative diffusion MRI of the abdomen and pelvis.Medical physics · 2022Article
- Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.Magnetic resonance in medicine · 2021Review
- Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping.Medical image analysis · 2021Article
- Toward nonparametric diffusion-Magnetic resonance in medicine · 2021Article
- Diffuse axonal injury has a characteristic multidimensional MRI signature in the human brain.Brain : a journal of neurology · 2021Article
- Article
- Multidimensional MRI for Characterization of Subtle Axonal Injury Accelerated Using an Adaptive Nonlocal Multispectral Filter.Frontiers in physics · 2021Article
- Direct and specific assessment of axonal injury and spinal cord microenvironments using diffusion correlation imaging.NeuroImage · 2020Article
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5 authors.
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Abstract
Multidimensional correlation magnetic resonance imaging (MRI) is an emerging imaging modality that is capable of disentangling highly heterogeneous and opaque systems according to chemical and physical interactions of water within them. Using this approach, the conventional three dimensional MR scalar images are replaced with spatially resolved multidimensional spectra. The ensuing abundance in microstructural and chemical information is a blessing that incorporates a real challenge: how does one distill and refine it into images while retaining its significant components? In this paper we introduce a general framework that preserves the spectral information from spatially resolved multidimensional data. Equal weight is given to significant spectral components at the single voxel level, resulting in a summarized image spectrum. This spectrum is then used to define spectral regions of interest that are utilized to reconstruct images of sub-voxel components. Using numerical simulations we first show that, contrary to the conventional approach, the proposed framework preserves spectral resolution, and in turn, sensitivity and specificity of the reconstructed images. The retained spectral resolution allows, for the first time, to observe an array of distinct [Formula: see text]-[Formula: see text]-[Formula: see text] components images of the human brain. The robustly generated images of sub-voxel components overcome the limited spatial resolution of MRI, thus advancing multidimensional correlation MRI to fulfilling its full potential.
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