Accelerating CS-MRI Reconstruction With Fine-Tuning Wasserstein Generative Adversarial Network

Accelerating CS-MRI Reconstruction With Fine-Tuning Wasserstein Generative Adversarial Network

Compressed sensing magnetic resonance imaging (CS-MRI) is a time-efficient method to acquire MR images by taking advantage of the highly under-sampled k-space data to accelerate the time consuming acquisition process. In this paper, we proposed a de-aliasing fine-tuning Wasserstein generative advers...

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Bibliographic Details
Main Authors: Mingfeng Jiang, Zihan Yuan, Xu Yang, Jucheng Zhang, Yinglan Gong, Ling Xia, Tieqiang Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fine-tuning
image reconstruction
magnetic resonance image (MRI)
Wasserstein generative adversarial network (WGAN)
Online Access:https://ieeexplore.ieee.org/document/8876596/

Internet

https://ieeexplore.ieee.org/document/8876596/

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