ArticleIEEE transactions on medical imaging2020
Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM.
Article in IEEE transactions on medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
- Article
- Glycolic Acid-Guided Intelligent Neurovascular Imaging: A Cross-Scale Platform for Real-Time Neuroprotection and Adaptive Stroke Imaging.Journal of clinical medicine · 2026Article
- Free-running isotropic three-dimensional cine magnetic resonance imaging with deep learning image reconstruction.Pediatric radiology · 2025Article
- Multifrequency Time-Dependent Deep Image Prior for Real-Time Free-Breathing Cardiac Imaging.NMR in biomedicine · 2025Article
- Feasibility of fetal cardiac function and anatomy assessment by real-time spiral balanced steady-state free precession magnetic resonance imaging at 0.55T.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Deep learning for accelerated and robust MRI reconstruction.Magma (New York, N.Y.) · 2024Review
- HyperSLICE: HyperBand optimized spiral for low-latency interactive cardiac examination.Magnetic resonance in medicine · 2024Article
- Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling.IEEE transactions on medical imaging · 2023Article
- Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI.IEEE transactions on medical imaging · 2022Article
- Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR).IEEE transactions on medical imaging · 2022Article
- Optimization of through-time radial GRAPPA with coil compression and weight sharing.Magnetic resonance in medicine · 2022Article
- Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM).Physics in medicine and biology · 2022 · on this mapArticle
- Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model.IEEE transactions on medical imaging · 2021Article
- DEEP GENERATIVE STORM MODEL FOR DYNAMIC IMAGING.Proceedings. IEEE International Symposium on Biomedical Imaging · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
We introduce a kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI from spiral acquisitions without explicit k-space navigators. It is often challenging for low-rank methods to recover free-breathing and ungated images from undersampled measurements; extensive cardiac and respiratory motion often results in the Casorati matrix not being sufficiently low-rank. Therefore, we exploit the non-linear structure of the dynamic data, which gives the low-rank kernel matrix. Unlike prior work that rely on navigators to estimate the manifold structure, we propose a kernel low-rank matrix completion method to directly fill in the missing k-space data from variable density spiral acquisitions. We validate the proposed scheme using simulated data and in-vivo data. Our results show that the proposed scheme provides improved reconstructions compared to the classical methods such as low-rank and XD-GRASP. The comparison with breath-held cine data shows that the quantitative metrics agree, whereas the image quality is marginally lower.
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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.