Manifold Constrained Low-Rank and Joint Sparse Learning for Dynamic Cardiac MRI

Manifold Constrained Low-Rank and Joint Sparse Learning for Dynamic Cardiac MRI

Reconstruction from highly accelerated dynamic magnetic resonance imaging (MRI) is of great significance for medical diagnosis. The application of low-rank and sparse matrix decomposition to MRI can improve imaging speed and efficiency. However, the consistence of the learned low-rank and sparse str...

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Bibliographic Details
Main Authors: Qingmin Meng, Xianchao Xiu, Yan Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Magnetic resonance imaging (MRI)
dynamic cardiac MRI
low-rank and joint sparse decomposition
manifold learning
alternating direction method of multipliers (ADMM)
Online Access:https://ieeexplore.ieee.org/document/9157834/

Internet

https://ieeexplore.ieee.org/document/9157834/

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