Publication Name	World Journal of Radiology
Manuscript ID	126287
Country	Nigeria

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Minireviews
Article Title	Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework
Manuscript Source	Invited Manuscript
All Author List	Charles E Chika
Funding Agency and Grant Number
Corresponding Author	Charles E Chika, PhD, Department of Mathematics, University of Nigeria, Obukpa Road, Nsukka 410001, Nigeria. charles.chika@unn.edu.ng
Key Words	Proton stopping-power ratio; Computed tomography image; Tumor treatment; Proton therapy; Dual-energy computed tomography; Multi-energy computed tomography; Mathematical model; Machine learning; Optimization
Core Tip	This study presents a mathematical model for improving the precision of relative electron density, mean excitation energy, effective atomic number and stopping power ratio using computed tomography image. It exposes the need for machine learning algorithm that will help with best model selection. Based on the observation that the performance of the models differ based on the type of linear attenuation used (i.e., spectrally averaged linear attenuation or linear attenuation at effective energy), this study presents machine learning algorithm for best model selection. It also discusses the mathematical proof of the presented generalized model.
Citation	Chika CE. Generalized multi-energy model for computing radiation treatment parameters on image domain and automated model-selection framework. World J Radiol 2026; In press

Received	2026-07-30 06:14
Peer-Review Started	2026-08-05 06:59
First Decision by Editorial Office Director
Return for Revision	2026-08-26 07:44
Revised	2026-09-02 13:02
Publication Fee Transferred
Second Decision by Editor	2026-10-08 07:09
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-10-08 09:22
Articles in Press	2026-10-08 09:22
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
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