ArticleMagnetic resonance in medicine2020
JEDI: Joint Estimation Diffusion Imaging of macroscopic and microscopic tissue properties.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Diffusion tensor subspace imaging of double diffusion-encoded MRI delineates small fibers and gray-matter microstructure not visible with single encoding techniques.Magnetic resonance in medicine · 2025Article
- From Voxels to Physiology: A Review of Diffusion Magnetic Resonance Imaging Applications in Skeletal Muscle.Journal of magnetic resonance imaging : JMRI · 2025Review
- Backscattering Mueller matrix polarimetry estimates microscale anisotropy and orientation in complex brain tissue structure.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Identification of diffusion, kurtosis, and propagator MRI markers of Alzheimer's disease pathology in post-mortem human tissue.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Double pulsed field gradient diffusion MRI to assess skeletal muscle microstructure.Magnetic resonance in medicine · 2023Article
- Brain Waves: Emergence of Localized, Persistent, Weakly Evanescent Cortical Loops.Journal of cognitive neuroscience · 2020Article
- Active Cortex Tractography.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
purposeA new method for enhancing the sensitivity of diffusion MRI (dMRI) by combining the data from single (sPFG) and double (dPFG) pulsed field gradient experiments is presented.
methodsThis method uses our JESTER framework to combine microscopic anisotropy information from dFPG experiments using a new method called diffusion tensor subspace imaging (DiTSI) to augment the macroscopic anisotropy information from sPFG data analyzed using our guided by entropy spectrum pathways method. This new method, called joint estimation diffusion imaging (JEDI), combines the sensitivity to macroscopic diffusion anisotropy of sPFG with the sensitivity to microscopic diffusion anisotropy of dPFG methods.
resultsIts ability to produce significantly more detailed anisotropy maps and more complete fiber tracts than existing methods within both brain white matter (WM) and gray matter (GM) is demonstrated on normal human subjects on data collected using a novel fast, robust, and clinically feasible sPFG/dPFG acquisition.
conclusionsThe potential utility of this method is suggested by an initial demonstration of its ability to mitigate the problem of gyral bias. The capability of more completely characterizing the tissue structure and connectivity throughout the entire brain has broad implications for the utility and scope of dMRI in a wide range of research and clinical applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.