Advances in dual energy computed tomography approach for proton stopping power ratio computation in radiotherapy

Table 1 Stopping power ratio training and testing root mean square errors (%) using reference ρ_e as presented in Chika[20]

SPR training RMSE (%)	Total	Lung	Soft	Bone	Testing RMSE (%)	Total	Soft	Bone
SPR1,1 continuous	0.32	0.70	0.35	0.13		0.73	0.80	0.62
SPR1,1 piece-wise	0.22	0.02	0.27	0.04		0.92	1.09	0.61
SPR0,3 continuous	0.31	0.14	0.38	0.07		0.71	0.77	0.62
Kanematsu	2.03	0.00	2.08	2.04		1.77	1.80	1.63

Citation: Chika CE. Estimation of Proton Stopping Power Ratio and Mean Excitation Energy Using Electron Density and Its Applications via Machine Learning Approach. J Med Phys 2024; 49: 155-166. Copyright© The Authors 2024. Published by Wolters Kluwer Medknow Publications. This article is available under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike License (CC BY-NC-SA), which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. Permission only needs to be obtained for commercial use. RMSE: Root mean square error; SPR: Stopping power ratio.