Implementation of X-rays production in LegPy
Victor Moya, Jaime Rosado, Fernando Arqueros
TL;DR
This paper presents an upgrade to the LegPy package by incorporating a simple X-ray fluorescence model, improving its accuracy in cases where fluorescence significantly affects results, validated through various tests against PENELOPE.
Contribution
The paper introduces a straightforward X-ray fluorescence model into LegPy, enhancing its accuracy in fluorescence-influenced scenarios compared to previous versions.
Findings
The model effectively reduces deviations from PENELOPE in relevant cases.
Tests confirm the model's validity and improved performance.
LegPy's applicability is extended to fluorescence-related simulations.
Abstract
The LegPy package has been upgraded by including the production of X-ray fluorescence based on a simple model. Several tests have been done to check the validity of our approximations. This simple model has been sufficient to fix severe deviations of LegPy with respect to the well-established code PENELOPE in those particular cases for which fluorescence emission has a relevant impact.
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Radiomics and Machine Learning in Medical Imaging