Application-Oriented Optimization of Accelerator-Generated X-ray Spectra for Medical Imaging, Industrial Non-Destructive Testing, and High-Resolution Research
Abstract
This paper extends the spectrum study into an application-oriented optimization framework. Instead of asking only how beam energy, current, and target material alter the X-ray spectrum, the paper evaluates which combinations best satisfy the operational demands of medical imaging, industrial non-destructive testing, and high-resolution research imaging. A structured multi-criterion ranking model was applied to the same accelerator design space used in Paper 1. Composite performance scores were derived from contrast preservation, penetration requirement, photon availability, spectral compactness, and conversion efficiency. The results show that no single universal optimum exists. Molybdenum at lower beam energy performs best for contrast-sensitive imaging, whereas tungsten at intermediate and high energies dominates penetration-focused and high-output applications. The expanded findings demonstrate that spectrum optimization must be formalized around the intended end use rather than generalized across all tasks. The paper provides a practical decision framework that can guide target selection, operating protocol design, and future experimental validation.
How to Cite
Jyoti Rani, Sumit Yadav, "Application-Oriented Optimization of Accelerator-Generated X-ray Spectra for Medical Imaging, Industrial Non-Destructive Testing, and High-Resolution Research", Vol. 3, Issue 4, 25-07-2025, pp. 68-75.
