Accelerating 4D flow MRI by exploiting low‐rank matrix structure and hadamard sparsity
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26508
Abstract: To develop accelerated 4D flow MRI by exploiting low‐rank matrix structure and Hadamard sparsity. read more here.
Keywords: flow mri; matrix structure; exploiting low; rank matrix ... See more keywords
High‐resolution dynamic 31P‐MRSI using a low‐rank tensor model
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26762
Abstract: To develop a rapid 31P‐MRSI method with high spatiospectral resolution using low‐rank tensor‐based data acquisition and image reconstruction. read more here.
Keywords: resolution; low rank; rank tensor; using low ... See more keywords
Quantitative susceptibility map reconstruction using annihilating filter‐based low‐rank Hankel matrix approach
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27976
Abstract: Quantitative susceptibility mapping (QSM) inevitably suffers from streaking artifacts caused by zeros on the conical surface of the dipole kernel in k‐space. This work proposes a novel and accurate QSM reconstruction method based on k‐space… read more here.
Keywords: reconstruction; rank hankel; hankel matrix; low rank ... See more keywords
Low‐rank inversion reconstruction for through‐plane accelerated radial MR fingerprinting applied to relaxometry at 0.35 T
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29244
Abstract: To reduce scan time, methods to accelerate phase‐encoded/non‐Cartesian MR fingerprinting (MRF) acquisitions for variable density spiral acquisitions have recently been developed. These methods are not applicable to MRF acquisitions, wherein a single k‐space spoke is… read more here.
Keywords: plane accelerated; rank inversion; low rank;
A Slice‐Low‐Rank Plus Sparse (slice‐L + S) Reconstruction Method for k‐t Undersampled Multiband First‐Pass Myocardial Perfusion MRI
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29281
Abstract: The synergistic use of k‐t undersampling and multiband (MB) imaging has the potential to provide extended slice coverage and high spatial resolution for first‐pass perfusion MRI. The low‐rank plus sparse (L + S) model has shown excellent… read more here.
Keywords: rank plus; low rank; first pass; slice ... See more keywords
Free‐breathing motion‐informed locally low‐rank quantitative 3D myocardial perfusion imaging
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29295
Abstract: To propose respiratory motion‐informed locally low‐rank reconstruction (MI‐LLR) for robust free‐breathing single‐bolus quantitative 3D myocardial perfusion CMR imaging. Simulation and in‐vivo results are compared to locally low‐rank (LLR) and compressed sensing reconstructions (CS) for reference. read more here.
Keywords: free breathing; motion informed; low rank; locally low ... See more keywords
Joint denoising of diffusion‐weighted images via structured low‐rank patch matrix approximation
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29407
Abstract: To develop a joint denoising method that effectively exploits natural information redundancy in MR DWIs via low‐rank patch matrix approximation. read more here.
Keywords: low rank; rank patch; matrix approximation; patch matrix ... See more keywords
Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI.
Sign Up to like & getrecommendations! Published in 2023 at "Magnetic resonance in medicine"
DOI: 10.1002/mrm.29703
Abstract: PURPOSE Three-dimensional UTE MRI has shown the ability to provide simultaneous structural and functional lung imaging, but it is limited by respiratory motion and relatively low lung parenchyma SNR. The purpose of this paper is… read more here.
Keywords: low rank; motion; lung; mri ... See more keywords
Bayesian generalized linear low rank regression models for the detection of vaccine‐adverse event associations
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DOI: 10.1002/sim.9711
Abstract: We propose a generalized linear low‐rank mixed model (GLLRM) for the analysis of both high‐dimensional and sparse responses and covariates where the responses may be binary, counts, or continuous. This development is motivated by the… read more here.
Keywords: generalized linear; regression; event; vaccine adverse ... See more keywords
Bayesian Robust Principal Component Analysis with Adaptive Singular Value Penalty
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01358-1
Abstract: Robust principal component analysis (RPCA) has recently seen ubiquitous activity for dimensionality reduction in image processing, visualization and pattern recognition. Conventional RPCA methods model the low-rank component as regularizing each singular value equally. However, in… read more here.
Keywords: low rank; penalty; singular value; component ... See more keywords
Partial label learning via low-rank representation and label propagation
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DOI: 10.1007/s00500-019-04269-9
Abstract: In partial label learning, each training instance is assigned with a set of candidate labels, among which only one is correct. An intuitive strategy to learn from such ambiguous data is disambiguation. Existing methods following… read more here.
Keywords: label; rank representation; low rank; via low ... See more keywords