Hamza Sekkat, Khallouqi Abdellah, Omar El Rhazouani, Youssef Madkouri, Abdellah Halimi
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Brain matter (95% epoxy resin, 5% acetone) achieved HU values (35.27-43.61), aligning with clinical means, while the CSF-equivalent material (80% epoxy resin, 15% fumed silica, 5% acetone) matched neonatal CSF HU values (14.53-17.02). A mass substitute for hyperdense abnormalities exhibited HU values (56.16-61.07), enabling differentiation from normal brain. Validation included Monte Carlo simulations and experimental CT imaging, showing close agreement in linear attenuation coefficients, with deviations below 11% across energy levels. Mass attenuation coefficients from simulations and XCOM software were consistent, with deviations under 0.7%, confirming the materials dosimetric reliability. The phantom, with a cylindrical geometry (9 cm diameter, 10 cm length), provides accurate attenuation properties across 80-120 kVp energy levels, with deviations below 5% between experimental CT numbers and simulation data. 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引用次数: 0
摘要
本研究采用创新的非均质复合材料设计并验证了新生儿头部假体,以复制新生儿颅骨结构的x射线衰减特性。对338例新生儿头部CT扫描Hounsfield Unit (HU)数据的分析,为环氧树脂基复合材料的设计提供了依据,该复合材料添加了碳酸氢钠、气相二氧化硅和丙酮等添加剂,以模拟骨骼、脑物质、脑脊液(CSF)和高密度异常。颅骨替代物(60%环氧树脂,40%碳酸氢钠)的密度为1.60 g/cm³,HU值(574.67-608.04)与临床范围非常吻合。脑物质(95%环氧树脂,5%丙酮)达到HU值(35.27-43.61),与临床相符,而CSF等效材料(80%环氧树脂,15%气相二氧化硅,5%丙酮)符合新生儿CSF HU值(14.53-17.02)。高密度异常的肿块替代物显示出HU值(56.16-61.07),能够与正常脑区区分。验证包括蒙特卡罗模拟和实验CT成像,显示线性衰减系数密切一致,跨能级偏差低于11%。模拟得到的质量衰减系数与XCOM软件得到的质量衰减系数一致,偏差小于0.7%,证实了材料剂量学的可靠性。该模型具有圆柱形结构(直径9厘米,长10厘米),在80-120 kVp能级范围内提供精确的衰减特性,实验CT值与模拟数据之间的偏差低于5%。该幻影为新生儿成像研究提供了一个强大的平台,实现了有效的剂量优化和成像方案调整,并支持提高儿科成像的诊断准确性。
Study of attenuation characteristics for novel neonatal head phantom in diagnostic radiology using Monte Carlo simulations and experiments.
This study presents the design and validation of a neonatal head phantom using innovative heterogeneous composite materials customized to replicate the x-ray attenuation properties of neonatal cranial structures. Analysis of Hounsfield Unit (HU) data from 338 neonatal head CT scans informed the design of epoxy resin-based composites with additives such as sodium bicarbonate, fumed silica, and acetone to simulate bone, brain matter, cerebrospinal fluid (CSF) and hyperdense abnormalities. The cranial bone substitute (60% epoxy resin, 40% sodium bicarbonate) achieved a density of 1.60 g cm-3, with HU values (574.67-608.04) closely matching clinical ranges. Brain matter (95% epoxy resin, 5% acetone) achieved HU values (35.27-43.61), aligning with clinical means, while the CSF-equivalent material (80% epoxy resin, 15% fumed silica, 5% acetone) matched neonatal CSF HU values (14.53-17.02). A mass substitute for hyperdense abnormalities exhibited HU values (56.16-61.07), enabling differentiation from normal brain. Validation included Monte Carlo simulations and experimental CT imaging, showing close agreement in linear attenuation coefficients, with deviations below 11% across energy levels. Mass attenuation coefficients from simulations and XCOM software were consistent, with deviations under 0.7%, confirming the materials dosimetric reliability. The phantom, with a cylindrical geometry (9 cm diameter, 10 cm length), provides accurate attenuation properties across 80-120 kVp energy levels, with deviations below 5% between experimental CT numbers and simulation data. This phantom offers a robust platform for neonatal imaging research, enabling impactful dose optimization and imaging protocol adjustment and supports improved diagnostic accuracy in pediatric imaging.
期刊介绍:
BPEX is an inclusive, international, multidisciplinary journal devoted to publishing new research on any application of physics and/or engineering in medicine and/or biology. Characterized by a broad geographical coverage and a fast-track peer-review process, relevant topics include all aspects of biophysics, medical physics and biomedical engineering. Papers that are almost entirely clinical or biological in their focus are not suitable. The journal has an emphasis on publishing interdisciplinary work and bringing research fields together, encompassing experimental, theoretical and computational work.