A Probabilistic Model-Based Method With Nonlocal Filtering for Robust Magnetic Resonance Imaging Reconstruction

A Probabilistic Model-Based Method With Nonlocal Filtering for Robust Magnetic Resonance Imaging Reconstruction

Existing model-based or data-driven methods have achieved a high-quality reconstruction in compressive sensing magnetic resonance imaging (CS-MRI). However, most methods are designed for a specific type of sampling mask or sampling rate while ignoring the existence of external noise, resulting in po...

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Bibliographic Details
Main Authors: Zhonghua Xie, Lingjun Liu, Cui Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Compressive sensing magnetic resonance imaging (CS-MRI)
Laplacian scale mixture (LSM)
denoising based approximate message passing (D-AMP)
nonlocal filtering
Online Access:https://ieeexplore.ieee.org/document/9082668/

Internet

https://ieeexplore.ieee.org/document/9082668/

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