ArticleMagnetic resonance in medicine2017
Accelerated dynamic MRI using patch regularization for implicit motion compensation.
Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- GLOW: Gastric LOW-Rank Tensor-Based Motion Correction for Abdominal 4D MRI.NMR in biomedicine · 2025Article
- High on sparsity: Interbin compensation of cardiac motion for improved assessment of left-ventricular function using 5D whole-heart MRI.Magnetic resonance in medicine · 2025Article
- Similarity-driven motion-resolved reconstruction for ferumoxytol-enhanced whole-heart MRI in congenital heart disease.PloS one · 2024Article
- Single-heartbeat cardiac cine imaging via jointly regularized nonrigid motion-corrected reconstruction.NMR in biomedicine · 2023Article
- Simultaneous multi-slice steady-state free precession myocardial perfusion with iterative reconstruction and integrated motion compensation.European journal of radiology · 2022Article
- High-Resolution Free-Breathing Quantitative First-Pass Perfusion Cardiac MR Using Dual-Echo Dixon With Spatio-Temporal Acceleration.Frontiers in cardiovascular medicine · 2022Article
- Simultaneous multi-parametric acquisition and reconstruction techniques in cardiac magnetic resonance imaging: Basic concepts and status of clinical development.Frontiers in cardiovascular medicine · 2022Review
- Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022Review
- Free-breathing simultaneousMagnetic resonance in medicine · 2021Article
- Recovery of surfaces and functions in high dimensions: sampling theory and links to neural networks.SIAM journal on imaging sciences · 2021Article
- Real-time exercise stress cardiac MRI with Fourier-series reconstruction from golden-angle radial data.Magnetic resonance imaging · 2021Article
- Whole-heart, ungated, free-breathing, cardiac-phase-resolved myocardial perfusion MRI by using Continuous Radial Interleaved simultaneous Multi-slice acquisitions at sPoiled steady-state (CRIMP).Magnetic resonance in medicine · 2020Article
- From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction.Frontiers in cardiovascular medicine · 2020Review
- Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM).IEEE transactions on medical imaging · 2019Article
- Reconstruction techniques for cardiac cine MRI.Insights into imaging · 2019Review
- Manifold recovery using kernel low-rank regularization: application to dynamic imaging.IEEE transactions on computational imaging · 2019Article
- Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM.Magnetic resonance in medicine · 2019Article
- Motion-compensated reconstruction of magnetic resonance images from undersampled data.Magnetic resonance imaging · 2019Article
- Feasibility of multiple-view myocardial perfusion MRI using radial simultaneous multi-slice acquisitions.PloS one · 2019Article
- RECOVERY OF POINT CLOUDS ON SURFACES: APPLICATION TO IMAGE RECONSTRUCTION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2018Article
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4 authors.
Funding
Abstract
purposeTo introduce a fast algorithm for motion-compensated accelerated dynamic MRI.
methodsAn efficient patch smoothness regularization scheme, which implicitly compensates for inter-frame motion, is introduced to recover dynamic MRI data from highly undersampled measurements. The regularization prior is a sum of distances between each rectangular patch in the dataset with other patches in the dataset using a saturating distance metric. Unlike current motion estimation and motion compensation (ME-MC) methods, the proposed scheme does not require reference frames or complex motion models. The proposed algorithm, which alternates between inter-patch shrinkage step and conjugate gradient algorithm, is considerably more computationally efficient than ME-MC methods. The reconstructions obtained using the proposed algorithm is compared against state-of-the-art methods.
resultsThe proposed method is observed to yield reconstructions with minimal spatiotemporal blurring and motion artifacts. In comparison to the existing state-of-the-art ME-MC methods, PRICE provides comparable or even better image quality with faster reconstruction times (approximately nine times faster).
conclusionThe presented scheme enables computationally efficient and effective motion-compensated reconstruction in a variety of applications with large inter-frame motion and contrast changes. This algorithm could be seen as an alternative over the current state-of-the-art ME-MC schemes that are computationally expensive. Magn Reson Med 77:1238-1248, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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