ArticleNeuroImage2021
NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.
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Who cites it
107 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain Neuroplasticity Leveraging Virtual Reality and Brain-Computer Interface Technologies.Sensors (Basel, Switzerland) · 2024Pooled it
- Functional Imaging of Hippocampal Layers Using VASO and BOLD on the Next Generation (NexGen) 7T Scanner.Human brain mapping · 2026Article
- Voxel-Matching NORDIC: Non-local patch formation by time-series similarity increases tSNR in high-resolution BOLD fMRI.bioRxiv : the preprint server for biology · 2026Article
- Article
- Characterising the Diffusion Functional Signature of Negative BOLD With Interleaved TMS-fMRI in the Human Brain.Human brain mapping · 2026Article
- A Hybrid RF Coil for Whole-Brain Imaging in Non-Human Primates at 7 T.Magnetic resonance in medicine · 2026Article
- Accelerated MCDW-pCASL Using Subspace Low-Rank Reconstruction for Quantification of BBB Water Exchange and Permeability.medRxiv : the preprint server for health sciences · 2026Article
- Offline Reconstruction of Diffusion MRI Acquisitions for Comparison Between Complex PCA-Based and AI-Based Denoising.Magnetic resonance in medicine · 2026Article
- Enhanced 2D Spiral Cine DENSE MRI Using Low-Rank Denoising for Improved Apparent Signal-to-Noise Ratio, Spatial Resolution, Efficiency, Accuracy, and Accessibility.Magnetic resonance in medicine · 2026Article
- Denoising strategies for higher resolution Q-space trajectory imaging with limited scanner hardware.Magma (New York, N.Y.) · 2026Article
- Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lung at 0.55T.Magnetic resonance in medicine · 2026Article
- Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.bioRxiv : the preprint server for biology · 2026Article
- Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography.Brain structure & function · 2026Review
- A new fMRI quality metric using multi-echo information: Theory, validation and implications.bioRxiv : the preprint server for biology · 2026Article
- Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Impact of thermal and physiological denoising on laminar functional connectivity.Scientific reports · 2026Article
- Connectomes across temporal scales with simultaneous wide-field optical imaging and resting-state functional MRI.bioRxiv : the preprint server for biology · 2026Article
- Taking advantage of non-steady-state imaging to increase temporal SNR for fMRI.Nature methods · 2026Article
- Thermal noise lowers the accuracy of rotationally invariant harmonics of diffusion MRI data and their robustness to experimental variations.Magnetic resonance in medicine · 2026Article
- Precision functional neuroimaging reveals individually specific auditory responses in infants.Developmental cognitive neuroscience · 2026Article
47 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
Abstract
Diffusion-weighted magnetic resonance imaging (dMRI) has found great utility for a wide range of neuroscientific and clinical applications. However, high-resolution dMRI, which is required for improved delineation of fine brain structures and connectomics, is hampered by its low signal-to-noise ratio (SNR). Since dMRI relies on the acquisition of multiple different diffusion weighted images of the same anatomy, it is well-suited for denoising methods that utilize correlations across the image series to improve the apparent SNR and the subsequent data analysis. In this work, we introduce and quantitatively evaluate a comprehensive framework, NOise Reduction with DIstribution Corrected (NORDIC) PCA method for processing dMRI. NORDIC uses low-rank modeling of g-factor-corrected complex dMRI reconstruction and non-asymptotic random matrix distributions to remove signal components which cannot be distinguished from thermal noise. The utility of the proposed framework for denoising dMRI is demonstrated on both simulations and experimental data obtained at 3 Tesla with different resolutions using human connectome project style acquisitions. The proposed framework leads to substantially enhanced quantitative performance for estimating diffusion tractography related measures and for resolving crossing fibers as compared to a conventional/state-of-the-art dMRI denoising method.
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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.