Learning a preconditioner to accelerate compressed sensing reconstructions in MRI-Reference-Cited by-同舟云学术

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Learning a preconditioner to accelerate compressed sensing reconstructions in MRI

Published:2021-11-09 Issue:4 Volume:87 Page:2063-2073
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magnetic Resonance in Med

Author:

Koolstra Kirsten¹^ORCID,Remis Rob²

Affiliation:

1. Division of Image Processing Department of Radiology Leiden University Medical Center Leiden The Netherlands

2. Circuits & Systems Group Electrical Engineering Mathematics and Computer Science Faculty Delft University of Technology Delft The Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29073

Reference28 articles.

1. Accelerating SENSE using compressed sensing

2. Free-Breathing Contrast-Enhanced Multiphase MRI of the Liver Using a Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling

3. Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint

4. Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

5. Fast $\ell_1$-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Fast CS-Based Reconstruction Model with Total Variation Constraint for MRI Enhancement in K-Space Domain;Computational Intelligence and Neuroscience;2022-07-06

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