Abstract：
OBJECTIVE: To evaluate the feasibility of using photon-counting detector computed tomography (PCD CT) to simultaneously quantify fat and iron content MATERIALS AND METHODS: Phantoms with pure fat, pure iron and fat-iron deposition were scanned by two tube voltages (120 and 140 kV) and two image quality (IQ) settings (80 and 145). Using an iron-specific three-material decomposition algorithm, virtual noniron (VNI) and virtual iron content (VIC) images were generated at quantum iterative reconstruction (QIR) strength levels 1-4.
RESULTS: Significant linear correlations were observed between known fat content (FC) and VNI for pure fat phantoms (r = 0.981-0.999, p < 0.001) and between known iron content (IC) and VIC for pure iron phantoms (r = 0.897-0.975, p < 0.001). In fat-iron phantoms, the measurement for fat content of 5-30% demonstrated good linearity between FC and VNI (r = 0.919-0.990, p < 0.001), and VNI were not affected by 75, 150, and 225 µmol/g iron overload (p = 0.174-0.519). The measurement for iron demonstrated a linear range of 75-225 µmol/g between IC and VIC (r = 0.961-0.994, p < 0.001) and VIC was not confounded by the coexisting 5%, 20%, and 30% fat deposition (p = 0.943-0.999). The Bland-Altman of fat and iron measurements were not significantly different at varying tube voltages and IQ settings (all p > 0.05). No significant difference in VNI and VIC at QIR 1-4.
CONCLUSIONS: PCD CT can accurately and simultaneously quantify fat and iron, including scan parameters with lower radiation dose.
RESULTS: Significant linear correlations were observed between known fat content (FC) and VNI for pure fat phantoms (r = 0.981-0.999, p < 0.001) and between known iron content (IC) and VIC for pure iron phantoms (r = 0.897-0.975, p < 0.001). In fat-iron phantoms, the measurement for fat content of 5-30% demonstrated good linearity between FC and VNI (r = 0.919-0.990, p < 0.001), and VNI were not affected by 75, 150, and 225 µmol/g iron overload (p = 0.174-0.519). The measurement for iron demonstrated a linear range of 75-225 µmol/g between IC and VIC (r = 0.961-0.994, p < 0.001) and VIC was not confounded by the coexisting 5%, 20%, and 30% fat deposition (p = 0.943-0.999). The Bland-Altman of fat and iron measurements were not significantly different at varying tube voltages and IQ settings (all p > 0.05). No significant difference in VNI and VIC at QIR 1-4.
CONCLUSIONS: PCD CT can accurately and simultaneously quantify fat and iron, including scan parameters with lower radiation dose.
摘要：
目的：评估使用光子计数探测器计算机断层扫描（PCDCT）同时定量脂肪和铁含量的可行性材料和方法：纯脂肪的幻影，通过两个管电压(120和140kV)和两个图像质量(IQ)设置(80和145)扫描纯铁和脂肪铁沉积。使用铁特定的三材料分解算法，在量子迭代重建(QIR)强度水平1~4时生成虚拟非铁(VNI)和虚拟铁含量(VIC)图像.
结果：在纯脂肪模型的已知脂肪含量（FC）和VNI之间观察到显着的线性相关性（r=0.981-0.999，p<0.001），在已知铁含量（IC）和VIC之间观察到纯铁模型（r=0.897-0.975，p<0.001）。在脂肪铁幻影中，5-30％的脂肪含量的测量表明FC和VNI之间具有良好的线性（r=0.919-0.990，p<0.001），和VNI不受75、150和225µmol/g铁过载的影响（p=0.174-0.519）。铁的测量表明，IC和VIC之间的线性范围为75-225µmol/g（r=0.961-0.994，p<0.001），VIC未被共存的5％混淆，20%,和30%的脂肪沉积(p=0.943-0.999)。在不同的管电压和IQ设置下，脂肪和铁的Bland-Altman测量值没有显着差异（所有p>0.05）。在QIR1-4时，VNI和VIC没有显着差异。
结论：PCDCT能准确、同时定量脂肪和铁，包括辐射剂量较低的扫描参数。
结果：在纯脂肪模型的已知脂肪含量（FC）和VNI之间观察到显着的线性相关性（r=0.981-0.999，p<0.001），在已知铁含量（IC）和VIC之间观察到纯铁模型（r=0.897-0.975，p<0.001）。在脂肪铁幻影中，5-30％的脂肪含量的测量表明FC和VNI之间具有良好的线性（r=0.919-0.990，p<0.001），和VNI不受75、150和225µmol/g铁过载的影响（p=0.174-0.519）。铁的测量表明，IC和VIC之间的线性范围为75-225µmol/g（r=0.961-0.994，p<0.001），VIC未被共存的5％混淆，20%,和30%的脂肪沉积(p=0.943-0.999)。在不同的管电压和IQ设置下，脂肪和铁的Bland-Altman测量值没有显着差异（所有p>0.05）。在QIR1-4时，VNI和VIC没有显着差异。
结论：PCDCT能准确、同时定量脂肪和铁，包括辐射剂量较低的扫描参数。
