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首页> 外文期刊>Physics in medicine and biology. >Quantification of iron in the presence of calcium with dual-energy computed tomography (DECT) in an ex vivo porcine plaque model.
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Quantification of iron in the presence of calcium with dual-energy computed tomography (DECT) in an ex vivo porcine plaque model.

机译：在离体猪斑模型中的双能计算断层扫描（DECT）存在下铁的定量。

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摘要

Iron deposits secondary to microbleeds often co-exist with calcium in coronary plaques. The purpose of this study was to quantify iron in the presence of calcium in an ex vivo porcine arterial plaque model using a clinical dual-energy CT (DECT) scanner. A material decomposition method to quantify the mass fractions of iron and calcium within a mixture using DECT was developed. Mixture solutions of known iron and calcium concentrations were prepared to calibrate and validate the DECT-based algorithm. Simulated plaques with co-existing iron and calcium were created by injecting the mixture solutions into the vessel wall of porcine carotid arteries and aortas. These vessel regions were harvested and scanned using a clinical DECT system and iron mass fraction was calculated for each sample. Iron- and calcium-specific staining was conducted on 5 microm thick histological sections of vessel samples to confirm the co-existence of iron and calcium in the simulated plaques. The proposed algorithm accurately quantified iron and calcium amounts in mixture solutions. Maps of iron mass fraction of 60 artery segments were obtained from CT images at two energies. The sensitivity for detecting the presence of iron was 83% and the specificity was 92% using a threshold at an iron mass fraction of 0.25%. Histological analysis confirmed the co-localization of iron and calcium within the simulated plaques. Iron quantification in the presence of calcium was feasible in excised arteries at an iron mass fraction of around 1.5% or higher using current clinical DECT scanners.
机译：二次到微斑型的铁沉积物通常与冠状动脉斑块的钙共存。本研究的目的是使用临床双能CT（DECT）扫描仪在离体猪动脉噬斑模型存在下量化铁。发育了一种材料分解方法，以量化使用DECT在混合物中的熨斗和钙的质量分数。制备已知的铁和钙浓度的混合物溶液以校准并验证基于DECT的算法。通过将混合物溶液注入猪颈动脉和主动脉的血管壁中来产生具有共存钢和钙的模拟斑块。使用临床DECT系统收获并扫描这些血管区域，并为每个样品计算铁质量分数。在5微米厚的血管样品中进行钙和钙特异性染色，以确认模拟斑块中的铁和钙的共存。所提出的算法精确地定量了混合溶液中的铁和钙量。从两个能量的CT图像获得60个动脉段的铁质量分数的图。检测铁的存在的敏感性为83％，并且在铁质量分数为0.25％的阈值下，特异性为92％。组织学分析证实了在模拟斑块内的铁和钙的共定位。在使用电流临床DECT扫描仪的铁质量分数下的铁质量分数下的切除动脉中的铁质量是可行的。

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