Super-Resolution Ultrasound Imaging by Sparse Bayesian Learning Method

Super-Resolution Ultrasound Imaging by Sparse Bayesian Learning Method

Super-resolution ultrasound (SR-US) imaging technique overcomes the acoustic diffraction limit and greatly improves the spatial resolution. Furthermore, by exploiting temporal fluctuations in microbubbles, a super-resolution fluctuation imaging (SOFI) method has also been used to improve the tempora...

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Bibliographic Details
Main Authors: Ying Liu, Yi Yang, Yuexia Shu, Tianyang Zhou, Jianwen Luo, Xin Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biomedical imaging
super-resolution ultrasound
super-resolution optical fluctuation imaging
compressed sensing
sparse Bayesian learning
Online Access:https://ieeexplore.ieee.org/document/8684192/

Internet

https://ieeexplore.ieee.org/document/8684192/

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