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. Author manuscript; available in PMC: 2024 May 26.
Published in final edited form as: Med Phys. 2024 Apr 3;51(5):3309–3321. doi: 10.1002/mp.17047

Figure 2. Convolutional Neural Network (CNN) architecture.

Figure 2.

The model input is a series of 25 PARs, where each of PAR has 15 z-slices and has its height of 128 and width of 128. The model output consists of 4 CPs (corresponding to CP1 to CP4 in the B-spline model) for each of 6 motion variables. Conv3D = 3D convolution layer. CP = control point.