4D flow sequences enable the acquisition of time resolved velocity fields over an averaged cardiac cycle. Flow quantification and velocity profile analysis typically requires manual segmentation and plane placement, which can lead to inaccuracies with lack of reproducibility and large post-processing times. Improving upon the semi-automated, 4D flow post-processing techniques with the application of centerline labeling and k-means based segmentation, here we propose a fully automated, time-resolved flow quantification method which utilizes flow as a function of distance instead of segmentation. This method may further decrease the time involved with 4D flow processing and increase the agreement with manual segmentation.
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