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Abstract <p>A computed tomography (CT) scan has been improved to clarify a tumor sites and size by utilizing radiocontrast media in medical X-ray imaging techniques. In particular, well-tolerated contrast images of a phantom containing mixtures of contrast agents such as iodine and gadolinium have absorbed the photons high. In this work, the effect of a two-dimensional projection image of an imaging phantom adapted to a preclinical experimental setup containing mixtures of contrast agents depending on their concentration, distribution and materials was evaluated using the Monte Carlo method. The projection image produced from the calculation demonstrated different tolerances for each iodine concentration, and the brightest part corresponded to the rod with the highest concentration. However, it could not be demonstrated well in the shorter targets. Nevertheless, the image tolerance on the target with the iodinated shell was brighter than the uniform distribution due to increased iodine volume density. As a result, the calculation could be given to find the optimal distribution of the iodine in biological objects for X-ray imaging. Finally, this study indicates the perspective of enhanced CT on targeted sites of imaging phantom-filled soft tissue (ICRP) at potential concentrations within a safe range of iodine without difficulty.</p>

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Contrast Enhancement Calculation of X-Ray Imaging

  • 期刊论文

  • 发表日期：

    2025年10月3日

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  • T. Togtokhtur,
  • E. B. Dushanov,
  • M. Batmunkh,
  • A. N. Bugay

摘要

Abstract

A computed tomography (CT) scan has been improved to clarify a tumor sites and size by utilizing radiocontrast media in medical X-ray imaging techniques. In particular, well-tolerated contrast images of a phantom containing mixtures of contrast agents such as iodine and gadolinium have absorbed the photons high. In this work, the effect of a two-dimensional projection image of an imaging phantom adapted to a preclinical experimental setup containing mixtures of contrast agents depending on their concentration, distribution and materials was evaluated using the Monte Carlo method. The projection image produced from the calculation demonstrated different tolerances for each iodine concentration, and the brightest part corresponded to the rod with the highest concentration. However, it could not be demonstrated well in the shorter targets. Nevertheless, the image tolerance on the target with the iodinated shell was brighter than the uniform distribution due to increased iodine volume density. As a result, the calculation could be given to find the optimal distribution of the iodine in biological objects for X-ray imaging. Finally, this study indicates the perspective of enhanced CT on targeted sites of imaging phantom-filled soft tissue (ICRP) at potential concentrations within a safe range of iodine without difficulty.