An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset

An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset

This work aims at developing a generalizable Magnetic Resonance Imaging (MRI) reconstruction method in the meta-learning framework. Specifically, we develop a deep reconstruction network induced by a learnable optimization algorithm (LOA) to solve the nonconvex nonsmooth variational model of MRI ima...

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Bibliographic Details
Main Authors: Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Journal of Imaging
Subjects:
MRI reconstruction
meta-learning
domain generalization
Online Access:https://www.mdpi.com/2313-433X/7/11/231

Internet

https://www.mdpi.com/2313-433X/7/11/231

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