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. Author manuscript; available in PMC: 2021 Jan 6.
Published in final edited form as: Med Image Comput Comput Assist Interv. 2020 Sep 29;12267:573–582. doi: 10.1007/978-3-030-59728-3_56

Fig. 1.

Fig. 1.

Eulerian and Lagrangian visualizations of flow dynamics. (A) For each time point, streamlines are computed at a fixed set of initial locations. Color is used to distinguish streamline clusters and time-varying flow behavior is observed by comparing streamlines across time. (B) Alternatively, temporal changes in particle trajectories are encompassed by pathlines and presented in a single image. Time-varying particle attributes associated with the pathlines, such as (C) density and (D) speed, exemplify the simplistic yet informative nature of our unified visualization framework.