Unsupervised phase unwrapping for aortic 4D flow MRI using deep image prior
Motivation: 4D flow MRI can acquire high flow velocity resolved images using low velocity encoding (venc) and phase unwrapping, conditioned on the unwrapping algorithm is reliable and robust. Goal(s): Evaluating an unsupervised phase unwrapping method using deep image prior (PUDIP) in aortic 4D flow MRI. Approach: Implementing the PUDIP method to aortic 4D flow MRI and comparing it with traditional phase unwrapping methods using retrospectively generated low-venc data base on high-venc data. Results: PUDIP had the least error compared to other phase unwrapping methods in most cases. Impact: PUDIP outperforms the conventional methods and can yield accurate flow velocity quantifications for 4D flow MRI.
Authors
- Hu Peng (ORCID: https://orcid.org/0000-0002-7010-1435)
- Haotian Hong (ORCID: https://orcid.org/0009-0004-0452-1230)
- Yanzhen Ren (ORCID: https://orcid.org/0000-0003-0799-5082)
- Zijian Zhou (ORCID: https://orcid.org/0000-0003-3315-3962)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/4277
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00