Evaluating image reconstruction methods for tumor detection performance in whole-body PET oncology imaging
Evaluating image reconstruction methods for tumor detection performance in whole-body PET oncology imaging
复制标题
评估全身 PET 肿瘤成像中肿瘤检测性能的图像重建方法
DOI：
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复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
B. Bendriem
中科院分区：
文献类型：
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作者：
C. Lartizien;Paul Kinahan;C. Comtat;Michael Lin;R. Swensson;R. Trébossen;B. Bendriem
这项工作介绍了观察者检测性能研究的初步结果，使用的体积可视化软件工具与临床PET肿瘤学成像相同。针对全身3DPET肿瘤学成像的FORE+OSEM和FORE+AWOSEM统计图像重建方法的研究表明，与当前使用的解析重建方法(FBP)相比，图像信噪比有潜在的改善。为了评估这些重建方法对人类观察者在检测和定位肿瘤方面的表现所产生的影响，我们使用非蒙特卡罗技术基于扩展的MCAT模型和具有临床现实水平的统计噪声来生成3D全身PET数据的多个统计准确的实现。对于每个实现，我们添加固定数量的随机定位的1厘米直径。对比度在预校准值之间变化的病变，因此真阳性分数的范围被很好地采样。观察者被告知肿瘤的数量，并与AFROC方法类似，被要求对所有肿瘤进行定位。计算作为病变对比度的函数的三种算法(FBP、FORE+OSEM、FORE+AWOSEM)的真阳性分数，尽管其他方案可以进行比较。每种肿瘤的置信度也被记录下来，用于以后的AFROC分析。
This work presents initial results from observer detection performance studies using the same volume visualization software tools that are used in clinical PET oncology imaging. Research into the FORE+OSEM and FORE+AWOSEM statistical image reconstruction methods tailored to whole- body 3D PET oncology imaging have indicated potential improvements in image SNR compared to currently used analytic reconstruction methods (FBP). To assess the resulting impact of these reconstruction methods on the performance of human observers in detecting and localizing tumors, we use a non- Monte Carlo technique to generate multiple statistically accurate realizations of 3D whole-body PET data, based on an extended MCAT phantom and with clinically realistic levels of statistical noise. For each realization, we add a fixed number of randomly located 1 cm diam. lesions whose contrast is varied among pre-calibrated values so that the range of true positive fractions is well sampled. The observer is told the number of tumors and, similar to the AFROC method, asked to localize all of them. The true positive fraction for the three algorithms (FBP, FORE+OSEM, FORE+AWOSEM) as a function of lesion contrast is calculated, although other protocols could be compared. A confidence level for each tumor is also recorded for incorporation into later AFROC analysis.
视觉干扰物对对比增强螺旋计算机断层扫描中肝结节可检测性的影响。
影响因子：
4.8
作者：
Wester,C;Judy,PF;Polger,M;Swensson,RG;Feldman,U;Seltzer,SE
通讯作者：
Seltzer,SE
临床接受者操作特征研究的结果，比较 FDG PET 研究中的滤波反投影和最大似然估计图像。
DOI：
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发表时间：
1993
期刊：
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子：
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作者：
Llacer,J;Veklerov,E;Baxter,LR;Grafton,ST;Griffeth,LK;Hawkins,RA;Hoh,CK;Mazziotta,JC;Hoffman,EJ;Metz,CE
通讯作者：
Metz,CE