ArticleNMR in biomedicine2020
Multidimensional correlation spectroscopic imaging of exponential decays: From theoretical principles to in vivo human applications.
Article in NMR in biomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Phantom- and simulation-based validation of combined diffusion relaxometry in ex vivo ADRD white matter.bioRxiv : the preprint server for biology · 2026Article
- Diffusion-T2 correlated spectroscopy imaging to explore possible placental composition changes over gestation.BMC medical imaging · 2025Article
- An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping with Applications to Multicomponent Diffusion and Relaxation MRI.IEEE transactions on computational imaging · 2025Article
- Maximum-entropy and subspace methods for high-resolution relaxation-diffusion distribution estimation.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Assessing renal interstitial fibrosis using compartmental, non-compartmental, and model-free diffusion MRI approaches.Insights into imaging · 2024Article
- The Potential of Phase Constraints for Non-Fourier Radiofrequency-Encoded MRI.IEEE transactions on computational imaging · 2024Article
- In Vivo Myelin Water Quantification Using Diffusion-Relaxation Correlation MRI: A Comparison of 1D and 2D Methods.Applied magnetic resonance · 2023Article
- Nonparametric 5D D-RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022Article
- Three-dimensional simultaneous brain mapping of T1, T2,Magnetic resonance in medicine · 2022Article
- Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.Magnetic resonance in medicine · 2021Review
- Region-optimized virtual (ROVir) coils: Localization and/or suppression of spatial regions using sensor-domain beamforming.Magnetic resonance in medicine · 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
- Three-dimensional whole-brain simultaneous T1, T2, and T1ρ quantification using MR Multitasking: Method and initial clinical experience in tissue characterization of multiple sclerosis.Magnetic resonance in medicine · 2021Article
- Whole-Brain Imaging of Subvoxel T1-Diffusion Correlation Spectra in Human Subjects.Frontiers in neuroscience · 2021Article
- Multidimensional MRI for Characterization of Subtle Axonal Injury Accelerated Using an Adaptive Nonlocal Multispectral Filter.Frontiers in physics · 2021Article
- Fast multicomponent 3D-TNMR in biomedicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Multiexponential modeling of relaxation or diffusion MR signal decays is a popular approach for estimating and spatially mapping different microstructural tissue compartments. While this approach can be quite powerful, it is also limited by the fact that one-dimensional multiexponential modeling is an ill-posed inverse problem with substantial ambiguities. In this article, we present an overview of a recent multidimensional correlation spectroscopic imaging approach to this problem. This approach helps to alleviate ill-posedness by making advantageous use of multidimensional contrast encoding (e.g., 2D diffusion-relaxation encoding or 2D relaxation-relaxation encoding) combined with a regularized spatial-spectral estimation procedure. Theoretical calculations, simulations, and experimental results are used to illustrate the benefits of this approach relative to classical methods. In addition, we demonstrate an initial proof-of-principle application of this kind of approach to in vivo human MRI experiments.
Indexed as
Identifiers
What OpenQuestion holds
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.