Computationally efficient x-ray simulation framework using parameterized material attenuation models in anatomically detailed imaging.

ABSTRACT:

Background

Virtual clinical trials provide an efficient alternative to clinical imaging trials for evaluating imaging technologies. In x-ray simulations, however, modeling material-specific attenuation becomes computationally intensive as anatomical complexity and material heterogeneity in digital phantoms increase. Parameterization models offer a potential solution by representing material properties with a compact set of coefficients.

Purpose

To develop and validate an x-ray simulation framework that models material attenuation using parameterization models, reducing computational cost while maintaining accuracy.

Methods

Material attenuation was modeled with a five-coefficient parameterization derived from physical cross-section data. Unlike conventional ray-tracing

SUBMITTER: Nassi M 

PROVIDER: S-EPMC12783016 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature