What is the most efficient path to traverse a sphere? For a spherical gap-minimizing efficiency definition and a particular path length, the answer happens to resemble the seam lines of a tennis ball. Here we explore properties of this general class of spherical trajectories and investigate their application to slew-constrained ZTE imaging. Static and motion-resolved imaging results demonstrate that Tennisball trajectories can achieve competitive performance with existing methods but with ~30-40% lower peak slew.
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