Experimental implementation of a polyenergetic statistical reconstruction algorithm for a commercial fan-beam CT scanner.
Experimental implementation of a polyenergetic statistical reconstruction algorithm for a commercial fan-beam CT scanner.
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DOI：
10.1016/j.ejmp.2012.12.005
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发表时间：
2013-09
期刊：
影响因子：
--
通讯作者：
Williamson JF
中科院分区：
文献类型：
--
作者：
Evans JD;Whiting BR;Politte DG;O'Sullivan JA;Klahr PF;Williamson JF
提出一个框架，用于表征在商用扇束 CT 扫描仪上实施基于多能模型的统计重建算法、交替最小化 (AM) 所需的数据，以及一种用于评估委托数据模型准确性的新方法。飞利浦 Brilliance CT 扫描仪上三个管电势的 X 射线光谱是通过将半经验 X 射线光谱模型拟合到透射测量来估计的。对领结滤波器引起的光谱变化进行了计算建模。在每种能量下扫描八个由 PMMA、Teflon 和水组成的不同直径的均质圆柱体。使用光束停止技术测量每个圆柱体的中心轴散射。使用与扫描圆柱体的成分相匹配的单基对象模型进行增材制造重建，可以评估增材制造算法的多能数据模型的准确性。还执行过滤反投影（FBP）来比较一致性指标，例如均匀性和对象大小依赖性。光谱模型拟合测量的透射曲线，三种扫描能量的残余均方根误差为 1.20% 至 1.34%。估计的光谱和散射数据支持测试气缸的多能 AM 重建，误差在匹配对象模型重建测试中预期的 0.5% 以内。与 FBP 相比，多能 AM 表现出更好的均匀性和更少的物体尺寸依赖性。使用匹配的对象模型进行重建表明，多能 AM 算法的数据模型与预期地面实况的误差在 0.5% 以内。这些结果支持正在进行的和未来的研究，利用多能 AM 重建商业扇束 CT 数据进行定量 CT 应用。
To present a framework for characterizing the data needed to implement a polyenergetic model-based statistical reconstruction algorithm, Alternating Minimization (AM), on a commercial fan-beam CT scanner and a novel method for assessing the accuracy of the commissioned data model. The x-ray spectra for three tube potentials on the Philips Brilliance CT scanner were estimated by fitting a semi-empirical x-ray spectrum model to transmission measurements. Spectral variations due to the bowtie filter were computationally modeled. Eight homogeneous cylinders of PMMA, Teflon and water with varying diameters were scanned at each energy. Central-axis scatter was measured for each cylinder using a beam-stop technique. AM reconstruction with a single-basis object-model matched to the scanned cylinder’s composition allows assessment of the accuracy of the AM algorithm’s polyenergetic data model. Filtered-backprojection (FBP) was also performed to compare consistency metrics such as uniformity and object-size dependence. The spectrum model fit measured transmission curves with residual root-mean-square-error of 1.20% to 1.34% for the three scanning energies. The estimated spectrum and scatter data supported polyenergetic AM reconstruction of the test cylinders to within 0.5% of expected in the matched object-model reconstruction test. In comparison to FBP, polyenergetic AM exhibited better uniformity and less object-size dependence. Reconstruction using a matched object-model illustrate that the polyenergetic AM algorithm’s data model was commissioned to within 0.5% of an expected ground truth. These results support ongoing and future research with polyenergetic AM reconstruction of commercial fan-beam CT data for quantitative CT applications.
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影响因子：
3.8
作者：
Evans, Joshua D.;Politte, David G.;Williamson, Jeffrey F.
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