465-02-005 ISMRM Abstract

Deep learning reconstruction of 4D Flow MRI using FlowVN: Generalization for Spatial and Spatio-Temporal Undersampling

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Cardiovascular - Flow

465-02-005 · Novel Developments and Applications in Flow MRI · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row F

Keywords: Image Reconstruction 4D flow MRI Deep learning reconstruction Accelerated MRI reconstruction Turbulent kinetic energy

Accepted

Sohaib A Qazi ^1,2, Tamara Bianchessi^1,2, Federica Viola^1,2, Chiara Trenti^1,2, Erik Ylipää², Tino Ebbers^1,2,3, Petter Dyverfeldt^1,2,3

¹Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden

²Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden

³Science for Life Laboratory, Linköping University, Linköping, Sweden

Presenting Author: Sohaib A Qazi

Synopsis

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References

1. Dyverfeldt, P., Bissell, M., Barker, A.J., et al., 4D flow cardiovascular magnetic resonance consensus statement. Journal of Cardiovascular Magnetic Resonance, 2015; 17(1), p.72. https://doi.org/10.1186/s12968-015-0174-5 [doi]

2. Lustig M, Donoho D, Pauly JM. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med. 2007;58(6):1182-1195. https://doi:10.1002/mrm.21391 [doi]

3. Neuhaus E, Weiss K, Bastkowski R, et al., Accelerated aortic 4D flow cardiovascular magnetic resonance using compressed sensing: applicability, validation and clinical integration. J Cardiovasc Magn Reson. 2019;21(1):65. https://doi:10.1186/s12968-019-0573-0 [doi]

4. Pathrose A, Ma L, Berhane H, et al. Highly accelerated aortic 4D flow MRI using compressed sensing: Performance at different acceleration factors in patients with aortic disease. Magn Reson Med. 2021;85(4):2174-2187. https://doi:10.1002/mrm.28561 [doi]

5. Vishnevskiy, V., Walheim, J. and Kozerke, S., Deep variational network for rapid 4D flow MRI reconstruction. Nature Machine Intelligence, 2020; 2(4), pp.228-235. https://doi.org/10.1038/s42256-020-0165-6 [doi]

6. Qazi, S.A., Khalid H, Viola F., et al., Accurate Peak and Mean Velocity with Deep Learning-Reconstructed highly Undersampled 4D Flow MRI using FlowVN, In the Proceedings of the annual meeting of ISMRM, Singapore, 2024.

7. Bustamante, M., Viola, F., Engvall, J., et al., Automatic time‐resolved cardiovascular segmentation of 4D flow MRI using deep learning. Journal of Magnetic Resonance Imaging, 2023; 57(1), pp.191-203. https://doi.org/10.1002/jmri.28221 [doi]

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http://echo.ismrm.org/p/ISMRM2026/465-02-005