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Spatial resolution and velocity field improvement of 4D-flow MRI

  • Published:2016-11-24 Issue:5 Volume:78 Page:1959-1968
  • ISSN:0740-3194
  • Container-title:Magnetic Resonance in Medicine
  • language:en
  • Short-container-title:Magn. Reson. Med

Author:

Callaghan Fraser M.12,Grieve Stuart M.123

Affiliation:

1. Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre; University of Sydney; Sydney Australia

2. Sydney Medical School; University of Sydney; Camperdown Australia

3. Department of Radiology; Royal Prince Alfred Hospital; Camperdown Australia.

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Cited by 14 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. Unsupervised Denoising and Super-Resolution of Vascular Flow Data by Physics-Informed Machine Learning;Journal of Biomechanical Engineering;2024-04-17

2. Segmentation-Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

3. SRflow: Deep learning based super-resolution of 4D-flow MRI data;Frontiers in Artificial Intelligence;2022-08-12

4. Navier-Stokes-Based Regularization for 4d Flow MRI Super-Resolution;2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI);2022-03-28

5. WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRI;Frontiers in Cardiovascular Medicine;2022-01-24
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