用于剂量优化的低成本儿科胸部假体:构建和验证

A. Mohammed Ali , S. Al-Murshedi
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引用次数: 0

摘要

引言和目的为了进行胸部剂量优化研究,成像体模应足以进行图像质量评估。由于高端模型的成本过高,因此需要一种具有相当可用的组织替代品的低成本构建方法。材料和方法对肺、皮质骨和软组织的放射学特征进行理论计算,以选择合适的替代品,然后分别选择软木、聚氯乙烯和水。验证包括,首先测量真实患者组织的CT Hounsfield单位(HU),然后将其与构建的体模中的相应解剖结构进行比较。其次,本研究获得了信噪比(SNR)和对比度噪声比(CNR)值,以评估所构建的体模产生的图像质量,然后将它们在不同曝光参数(kVp和mAs)下的趋势与有效体模进行比较,百分比差异表明,当模拟真实的患者组织时,组织替代物的准确性很高;P.V.C.≥5.78%,软木≥4.46%,水≥5%。肺和皮质骨及其等效组织替代物之间的百分比差异(CT-HU)分别为10.44%和0.53%~3.17%。当同时改变kVp(0.79)和mAs(0.65)时,SNR值呈强正相关。而当同时改变kVp(0.58)和mAs(0.53)时,CNR值的相关强度中等。结论我们的低成本体模通过CT HU批准其材料复制了真实一岁儿童的放射学特征,而SNR和SNR相关性证实了它在成像和优化研究中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-cost chest paediatric phantom for dose optimisation: construction and validation

Introduction and objectives

In order to perform chest dose optimisation studies, the imaging phantom should be adequate for image quality evaluation. Since high-end phantoms are cost prohibitive, there is a need for a low-cost construction method with fairly available tissue substitutes.

Materials and methods

Theoretical calculations of radiological characteristics were performed for each of lung, cortical bone and soft tissues in order to choose appropriate substitute, then, cork, P.V.C. (Polyvinyl chloride) and water were chosen, respectively. Validation included, firstly, measuring CT Hounsfield Units (HU) of a real patient’s tissues then compared against their corresponding anatomies in the constructed phantom. Secondly, Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) values were acquired in this study to evaluate the quality of images generated from the constructed phantom, then, compare their trends with a valid phantom under different exposure parameters (kVp and mAs).

Results

From theoretical calculations, the percentage differences showed high accuracy of tissue substitutes when simulating real patient tissues; P.V.C. was ≥5.78%, cork was ≥4.46% and water ≥5%. The percentage difference (CT HU) between lung and cortical bone and their equivalent tissue substitutes were 10.44% and 0.53%–3.17%, respectively. Strong positive correlations were found for SNR when changing both kVp (0.79) and mAs (0.65). While the correlation strength of CNR values were found to be moderate when changing both kVp (0.58) and mAs (0.53).

Conclusions

Our low-cost phantom approved through CT HU that their materials replicate the radiological characteristics of real one-year-old child while SNR and SNR correlations confirmed its applicability in imaging and optimisation studies.

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