Robust 4D flow denoising using divergence-free wavelet transform

Author:

Ong Frank1,Uecker Martin1,Tariq Umar2,Hsiao Albert2,Alley Marcus T2,Vasanawala Shreyas S.2,Lustig Michael1

Affiliation:

1. Department of Electrical Engineering and Computer Sciences; University of California; Berkeley California USA

2. Department of Radiology; Stanford University; Stanford California USA.

Funder

NIH

American Heart Association

The Sloan Research Fellowship

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Super-Resolving and Denoising 4D flow MRI of Neurofluids Using Physics-Guided Neural Networks;Annals of Biomedical Engineering;2024-09-02

2. A comparison of machine learning methods for recovering noisy and missing 4D flow MRI data;International Journal for Numerical Methods in Biomedical Engineering;2024-08-28

3. Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI;Computer Methods and Programs in Biomedicine;2024-04

4. Convergence and error estimates for pseudo-polyharmonic div-curl and elastic interpolation on a bounded domain;Journal of Numerical Analysis and Approximation Theory;2023-07-31

5. An analysis of reconstruction noise from undersampled 4D flow MRI;Biomedical Signal Processing and Control;2023-07

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