4Dflow-unwrap: A collection of python-based phase unwrapping algorithms
Motivation: Low-Venc PC-MRI acquisitions present the advantage of higher velocity-to-noise ratio (VNR). To the best of the author’s knowledge, no Python-based public repository exists with 4D flow MRI unwrapping algorithms and realistic examples. Goal(s): To share a collection of simple unwrapping tools for 4D Flow MRI and test their performance. Approach: To use three established unwrapping techniques to create a Python package to unwrap 4D flow MRI data. Results: We demonstrate the performance of these algorithms on aortic data including multiple Venc values and undersampling factors. Impact: The Python repository with a collection of simple unwrapping tools facilitates access to unwrapping techniques. These scripts can readily be used to unwrap any PC-MRI dataset.
Authors
- Pietro Dirix (ORCID: https://orcid.org/0000-0002-9566-5157)
- Sebastian Kozerke (ORCID: https://orcid.org/0000-0003-3725-8884)
- Luuk Jacobs (ORCID: https://orcid.org/0000-0002-8328-3450)
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
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/4679
- Primary Topic
- Optical measurement and interference techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00