Assessment of Iterative Closest Point Registration Accuracy for Different Phantom Surfaces Captured by an Optical 3D Sensor in Radiotherapy

Figure 2

Surfaces of selected phantoms captured by the optical sensor AlginRT showing typical problems of real measurement data: (a) measurement noise and systematic errors; (c) extra points not belonging to the object of interest; (b) and (e) seam from fusing the two surfaces of left and right optical sensors.

(a) Plane

(b) 3plane

(c) Bowl (before removing extra points)

(d) Bowl (after removing the extra points)

(e) Torso