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Anatomical-based Partial Volume Correction for Low-dose Dedicated Cardiac SPECT/CT

机译:低剂量专用心脏SPECT / CT的基于解剖的部分体积校正

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摘要

Due to the limited spatial resolution, partial volume effect (PVE) has been a major degrading factor on quantitative accuracy in emission tomography systems. This study aims to investigate the performance of several anatomical-based partial volume correction (PVC) methods for a dedicated cardiac SPECT/CT system (GE Discovery NM/CT 570c) with focused field-of-view (FOV) over a clinically relevant range of high and low count levels for two different radiotracer distributions. These PVC methods include perturbation Geometry Transfer Matrix (pGTM), pGTM followed by multi-target correction (MTC), pGTM with known concentration in blood pool, the former followed by MTC and our newly proposed methods, which perform the MTC method iteratively, where the mean values in all regions are estimated and updated by the MTC-corrected images each time in the iterative process. The NCAT phantom was simulated for cardiovascular imaging with 99mTc-tetrofosmin, a myocardial perfusion agent, and 99mTc-red blood cell (RBC), a pure intravascular imaging agent. Images were acquired at six different count levels to investigate the performance of PVC methods in both high and low count levels for low-dose applications. We performed two large animal in vivo cardiac imaging experiments following injection of 99mTc-RBC for evaluation of intramyocardial blood volume (IMBV). The simulation results showed our proposed iterative methods provide superior performance than other existing PVC methods in terms of image quality, quantitative accuracy, and reproducibility (standard deviation), particularly for low-count data. The iterative approaches are robust for both 99mTc-tetrofosmin perfusion imaging and 99mTc-RBC imaging of IMBV and blood pool activity even at low count levels. The animal study results indicated the effectiveness of PVC to correct the overestimation of IMBV due to blood pool contamination. In conclusion, the iterative PVC methods can achieve more accurate quantification, particularly for low count cardiac SPECT studies, typically obtained from low-dose protocols, gated studies, and dynamic applications.
机译:由于有限的空间分辨率,部分体积效应(PVE)已成为影响放射断层扫描系统定量精度的主要因素。这项研究旨在研究在临床相关范围内具有聚焦视野(FOV)的专用心脏SPECT / CT系统(GE Discovery NM / CT 570c)的几种基于解剖学的部分体积校正(PVC)方法的性能两种不同的放射性示踪剂分布的高和低计数水平。这些PVC方法包括摄动几何传递矩阵(pGTM),pGTM,多目标校正(MTC),血池中已知浓度的pGTM,前者紧随其后的是MTC,以及我们新近提出的方法,这些方法可以迭代地执行MTC方法。每次迭代过程中,MTC校正的图像都会估算并更新所有区域的平均值。用心肌灌注剂 99m Tc-tetrofosmin和纯血管内成像剂 99m Tc-红血球(RBC)对NCAT体模进行心血管成像模拟。以六种不同的计数水平获取图像,以研究PVC方法在低剂量应用中在高计数水平和低计数水平上的性能。我们在注射 99m Tc-RBC后进行了两个大型动物体内心脏成像实验,以评估心肌内血容量(IMBV)。仿真结果表明,我们提出的迭代方法在图像质量,定量准确性和可重复性(标准偏差)方面,特别是对于低计数数据而言,提供了优于其他现有PVC方法的性能。迭代方法对于IMBV和血池活性的 99mT c-tetrofosmin灌注成像和 99m Tc-RBC成像均很稳定,即使在低计数水平下也是如此。动物研究结果表明,PVC可以纠正因血池污染而导致的IMBV高估。总之,迭代PVC方法可以实现更准确的定量,特别是对于低计数心脏SPECT研究(通常从低剂量方案,门控研究和动态应用中获得)。

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