Keywords: Software Tools, Velocity & Flow, Unwrapping
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.
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