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. Author manuscript; available in PMC: 2015 Apr 10.
Published in final edited form as: IEEE Trans Med Imaging. 2014 Nov 21;34(4):994–1003. doi: 10.1109/TMI.2014.2373351

Fig. 2.

Fig. 2

Depiction of the proposed trajectory reconstruction algorithm. (A) Example of cubic B-spline basis functions used to model the time-varying trajectory of a single moving source (N=7). (B) The optimal trajectory (black curved line) is estimated by finding the 3D spline that has minimum mean-square distance (red lines) to the recorded coincidence events (dashed lines). Tracking is performed in 3D but, for simplicity, only two spatial dimensions are shown.