Simultaneous iodine and barium imaging with photon-counting CT.

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Xinchen Deng, Devon Richtsmeier, Pierre-Antoine Rodesch, Kris Iniewski, Magdalena Bazalova-Carter
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Abstract

Objective.The objective of this study is to explore the capabilities of photon-counting computed tomography (PCCT) in simultaneously imaging and differentiating materials with close atomic numbers, specifically barium (Z= 56) and iodine (Z= 53), which is challenging for conventional computed tomography (CT).Approach.Experiments were conducted using a bench-top PCCT system equipped with a cadmium zinc telluride detector. Various phantom setups and contrast agent concentrations (1%-5%) were employed, along with a biological sample. Energy thresholds were tuned to the K-edge absorption energies of barium (37.4 keV) and iodine (33.2 keV) to capture multi-energy CT images. K-edge decomposition was performed using K-edge subtraction and principal component analysis (PCA) techniques to differentiate and quantify the contrast agents.Main results.The PCCT system successfully differentiated and accurately quantified barium and iodine in both phantom combinations and a biological sample, achieving high correlations (R2≈1) between true and reconstructed concentrations. PCA outperformed K-edge subtraction, particularly in the presence of calcium, by providing superior differentiation between barium and iodine.Significance.This study demonstrates the potential of PCCT for reliable, detailed imaging in both clinical and research settings, particularly for contrast agents with similar atomic numbers. The results suggest that PCCT could offer significant improvements in imaging quality over conventional CT, especially in applications requiring precise material differentiation.

利用光子计数 CT 同时进行碘和钡成像。
与传统 CT 相比,光子计数计算机断层扫描 (PCCT) 有可能显著提高图像质量。本研究利用光子计数计算机断层扫描技术实现了钡(Z=56)和碘(Z=53)的同步多对比成像,解决了传统 CT 在区分原子序数相似的材料方面的局限性。利用带有碲化镉锌(CZT)探测器的台式 PCCT 系统,使用各种模型设置和 1-5% 的对比剂浓度,并在生物样本中进行了实验。能量阈值根据钡(37.4 keV)和碘(33.2 keV)的 K 边吸收能量进行了调整,以捕捉多能量 CT 图像。利用 K 边减法和主成分分析 (PCA) 技术对 K 边进行分解,结果表明,模型组合和生物样本中的造影剂均能得到清晰的区分和准确的量化。PCCT 系统成功地区分并量化了钡和碘,真实浓度和重建浓度之间具有很高的相关性(R^2 约为 1)。PCA 在区分钡和碘方面的能力优于 K 边减法,尤其是在扫描对象中存在钙的情况下。这些发现凸显了 PCCT 在临床和研究应用中进行可靠、详细成像的潜力,特别是对于原子序数接近的造影剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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