使用高时间分辨率图像重建和误差补偿材料基图像生成的顺序扫描双能CT成像
Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation
AI总结：
本文提出ACCELERATION方法，通过高时间分辨率图像重建和误差补偿材料基图像生成技术，解决顺序扫描DECT中数据集时间不一致问题，提高材料浓度定量准确性和图像质量。
摘要：
双能计算机断层扫描（DECT）已被广泛用于获取成像对象的定量元素组成，以实现个性化和精准的医疗诊断。与利用先进X射线源和/或探测器技术的DECT相比，使用顺序扫描数据采集方案来实现DECT可能会对临床实践产生更广泛的影响，因为该方案不需要专门的硬件设计，可以直接在常规CT系统中实现。然而，由于成像对象中碘造影剂的浓度随时间变化，在两种管电位下获取的顺序扫描数据集在时间上是不一致的。现有的材料基图像重建方法假设在两种管电位下获取的数据集在时间上是一致的，违反这一假设会导致材料浓度的定量不准确。在这项工作中，我们开发了使用高时间分辨率图像重建和误差补偿材料基图像生成的顺序扫描DECT成像，简称ACCELERATION，以解决顺序扫描数据集时间不一致引起的技术挑战，并提高顺序扫描DECT中材料浓度的定量准确性。ACCELERATION已使用从临床人体检查生成的数值模拟数据集和实验性人体研究进行了验证和评估。结果证明了使用ACCELERATION提高了定量准确性和图像质量。
英文摘要：
Dual-energy computed tomography (DECT) has been widely used to obtain quantitative elemental composition of imaged subjects for personalized and precise medical diagnosis. Compared with DECT leveraging advanced X-ray source and/or detector technologies, the use of the sequential-scanning data acquisition scheme to implement DECT may make a broader impact on clinical practice because this scheme requires no specialized hardware designs and can be directly implemented into conventional CT systems. However, since the concentration of iodinated contrast agent in the imaged subject varies over time, sequentially scanned data sets acquired at two tube potentials are temporally inconsistent. As existing material basis image reconstruction approaches assume that the data sets acquired at two tube potentials are temporally consistent, the violation of this assumption results in inaccurate quantification of material concentration. In this work, we developed sequential-scanning DECT imaging using high temporal resolution image reconstruction and error-compensated material basis image generation, ACCELERATION in short, to address the technical challenge induced by temporal inconsistency of sequentially scanned data sets and improve quantification accuracy of material concentration in sequential-scanning DECT. ACCELERATION has been validated and evaluated using numerical simulation data sets generated from clinical human subject exams and experimental human subject studies. Results demonstrated the improvement of quantification accuracy and image quality using ACCELERATION.
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