From: Applying pytorch toolkit to plan optimization for circular cone based robotic radiotherapy
Dp (cGy) | Fraction dose (cGy) | Fraction | VPTV (cc) | No. of voxels | Cone (mm) | No. of nodes | No. of beams | Time (S) | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Ini | Cal | Opt | Total | |||||||||
Brain | 2000 | 500 | 4 | 6.9 | 21,901 | 7.5/10 | 121 | 7091 | 2.3 | 10.6 | 57.4 | 70.3 |
2000 | 500 | 4 | 17.6 | 17,418 | 12.5/25 | 71 | 2417 | 2.5 | 3.7 | 17.7 | 23.9 | |
2000 | 400 | 5 | 47.3 | 28,104 | 12.5/20 | 121 | 7907 | 2.7 | 12.5 | 69.6 | 84.8 | |
2000 | 500 | 4 | 25.9 | 18,923 | 12.5/35 | 79 | 3676 | 1.9 | 4.4 | 36.9 | 43.3 | |
3000 | 500 | 6 | 53.6 | 27,699 | 25/35 | 87 | 1281 | 0.3 | 2.0 | 18.8 | 21.1 | |
3000 | 600 | 5 | 14.8 | 19,109 | 12.5/25 | 122 | 3173 | 2.9 | 4.7 | 36.9 | 44.5 | |
Liver | 5000 | 500 | 10 | 50.3 | 40,332 | 20/30 | 80 | 1807 | 6.9 | 3.5 | 28.4 | 38.8 |
5000 | 500 | 10 | 15.9 | 38,992 | 15/25 | 78 | 1408 | 2.0 | 2.5 | 24.7 | 29.1 | |
5500 | 550 | 10 | 38.6 | 32,250 | 20/25 | 80 | 1893 | 5.4 | 3.2 | 23.5 | 32.1 | |
5000 | 500 | 10 | 18.7 | 43,506 | 15/25 | 79 | 1591 | 2.5 | 2.8 | 29.0 | 34.3 | |
5000 | 500 | 10 | 125.6 | 52,144 | 20/30 | 94 | 4093 | 3.3 | 7.5 | 81.5 | 92.4 | |
5000 | 500 | 10 | 168.4 | 56,215 | 30/40 | 80 | 1764 | 3.4 | 3.8 | 45.4 | 52.5 |