No‐reference image quality assessment of magnetic resonance images with high‐boost filtering and local features-Reference-Cited by-同舟云学术

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No‐reference image quality assessment of magnetic resonance images with high‐boost filtering and local features

Published:2020-02-12 Issue:3 Volume:84 Page:1648-1660
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Oszust Mariusz¹^ORCID,Piórkowski Adam²^ORCID,Obuchowicz Rafał³^ORCID

Affiliation:

1. Department of Computer and Control Engineering Rzeszów University of Technology Rzeszów Poland

2. Department of Biocybernetics and Biomedical Engineering AGH University of Science and Technology Kraków Poland

3. Department of Diagnostic Imaging Jagiellonian University Medical College Kraków Poland

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28201

Reference66 articles.

1. Automated reference-free detection of motion artifacts in magnetic resonance images

2. Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI

3. Compressed sensing in dynamic MRI

4. Coil compression for accelerated imaging with Cartesian sampling

5. Learning a variational network for reconstruction of accelerated MRI data

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