Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework

doi:10.4329/wjr.126287

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World Journal of Radiology

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1949-8470

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World J Radiol. Oct 28, 2026; 18(10): 126287
Published online Oct 28, 2026. doi: 10.4329/wjr.126287

Table 1 Modeling and testing root mean square error (%) for stopping power ratio

SPR modeling RMSE	Total	Lung	Soft	Bone	Testing RMSE	Total	Soft	Bone
T_SPR,2,1; T_μmr	0.85	0.00	1.03	0.40		2.69	2.72	2.65
T_SPRsoft,2,1 bone; T_μmr	0.73	0.00	0.87	0.40		2.63	2.62	2.65
T_SPR,1,2; T_μm	0.76	0.13	0.90	0.42		2.66	2.66	2.65
T_SPR,1,2; T_μL	0.83	0.02	0.96	0.53		7.26	3.42	10.49
Stoichiometric	0.93	-0.01	1.10	0.56		3.40	3.38	3.42
Taasti	0.15	0.01	0.15	0.15		0.67	0.76	0.60
H-S	0.39	0.28	0.41	0.35		0.85	0.91	0.77
T_SPR,2,1; T_μmr 4 g	0.69	0.00	0.81	0.40		2.37	2.14	2.65

RMSE: Root mean square error; SPR: Stopping power ratio; H-S: Hunemohr-Saito.

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Citation: Chika CE. Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework. World J Radiol 2026; 18(10): 126287
URL: https://www.wjgnet.com/1949-8470/full/v18/i10/126287.htm
DOI: https://dx.doi.org/10.4329/wjr.126287

Chika CE. Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework. World J Radiol 2026; 18(10): 126287 [DOI: 10.4329/wjr.126287]

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