A comparison of machine learning methods for recovering noisy and missing 4D flow MRI data
Hunor Csala,
Omid Amili,
Roshan M. D'Souza
et al.
Abstract:Experimental blood flow measurement techniques are invaluable for a better understanding of cardiovascular disease formation, progression, and treatment. One of the emerging methods is time‐resolved three‐dimensional phase‐contrast magnetic resonance imaging (4D flow MRI), which enables noninvasive time‐dependent velocity measurements within large vessels. However, several limitations hinder the usability of 4D flow MRI and other experimental methods for quantitative hemodynamics analysis. These mainly include… Show more
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