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. Author manuscript; available in PMC: 2018 Apr 21.
Published in final edited form as: Phys Med Biol. 2017 Feb 24;62(8):3330–3351. doi: 10.1088/1361-6560/aa62c5

Figure 1.

Figure 1

Flowchart for the Known-Component Registration (KC-Reg) algorithm. Two stages operate in tandem: registration of 2D radiographs (P) acquired at perspective views (θ) to: (i) the 3D patient CT (P) shown by dotted paths; and (ii) the 3D models of surgical components (C) shown by solid paths. The “Projection” is a GPU-accelerated forward projection operation that generates DRRs. The similarity “Metric” is a gradient-based objective function (GO for patient registration and GC for component registration) that is then maximized by the “Optimizer” (CMA-ES). The registration yields transforms T that relate the 3D positions of surgical components within the reference frame of the patient CT, allowing quantitative assessment of the surgical construct.