Combining Spectral CT Acquisition Methods for High-Sensitivity Material Decomposition.
Combining Spectral CT Acquisition Methods for High-Sensitivity Material Decomposition.
复制标题
结合光谱 CT 采集方法进行高灵敏度材料分解。
DOI：
10.1117/12.2550025
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Stayman,JWebster
中科院分区：
文献类型：
--
作者：
Tivnan,Matthew;Wang,Wenying;Gang,GraceJ;Liapi,Eleni;Noël,Peter;Stayman,JWebster
通过能谱 CT 和材料分解可以定量估计造影剂浓度。有多种方法可以调制成像系统的灵敏度以获得分解所需的不同光谱通道。实现这种不同灵敏度的光谱 CT 技术包括源电压切换、双层探测器和源侧滤波（例如平铺空间光谱滤波器）。在这项工作中，我们使用先进的物理模型来模拟这三种能谱 CT 策略以及使用两种或三种策略的所有组合的混合采集。我们将基于模型的材料分解应用于碘浓度为 0.1 至 5.0 mg/mL 的水碘模型。我们展示了光谱技术的不同组合的偏差噪声图，并表明组合方法允许光谱灵敏度的多样性，并相对于单独应用的那些策略提高低浓度成像性能。更好地估计低浓度造影剂的能力有可能降低与造影剂给药相关的风险（通过降低剂量）或将成像应用扩展到摄取率低得多的目标。
Quantitative estimation of contrast agent concentration is made possible by spectral CT and material decomposition. There are several approaches to modulate the sensitivity of the imaging system to obtain the different spectral channels required for decomposition. Spectral CT technologies that enable this varied sensitivity include source kV-switching, dual-layer detectors, and source-side filtering (e.g., tiled spatial-spectral filters). In this work, we use an advanced physical model to simulate these three spectral CT strategies as well as hybrid acquisitions using all combinations of two or three strategies. We apply model-based material decomposition to a water-iodine phantom with iodine concentrations from 0.1 to 5.0 mg/mL. We present bias-noise plots for the different combinations of spectral techniques and show that combined approaches permit diversity in spectral sensitivity and improve low concentration imaging performance relative to the those strategies applied individually. Better ability to estimate low concentrations of contrast agent has the potential to reduce risks associated with contrast administration (by lowering dosage) or to extend imaging applications into targets with much lower uptake.