Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.

Journal: IEEE transactions on bio-medical engineering

Published Date: Sep 1, 2016

Abstract

OBJECTIVE: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data.

Authors

Zhifang Zhan
Jian-Feng Cai
Di Guo
Yunsong Liu
Zhong Chen

Institute of HIV/AIDS The First Hospital of Changsha, Changsha, China.
Xiaobo Qu

Keywords

Algorithms Artifacts Brain Data Compression Humans Image Enhancement Machine Learning Magnetic Resonance Imaging Pattern Recognition, Automated Phantoms, Imaging Reproducibility of Results Sample Size Sensitivity and Specificity Subtraction Technique

External Resources

View on PubMed Access via DOI PubMed (26625404)

Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.

Abstract

Authors

Keywords

External Resources

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