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首页> 外文期刊>Radiology >Iterative image reconstruction techniques for CT coronary artery calcium quantification: Comparison with traditional filtered back projection in vitro and in vivo
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Iterative image reconstruction techniques for CT coronary artery calcium quantification: Comparison with traditional filtered back projection in vitro and in vivo

机译:用于CT冠状动脉钙定量的迭代图像重建技术:与体外和体内传统滤过背投影的比较

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摘要

Purpose: To investigate in vitro and in vivo the use of image-based and raw data-based iterative reconstruction algorithms for quantification of coronary artery calcium by using the Agatston score and subsequent cardiac risk stratification. Materials and Methods: In vitro data were obtained by using a moving anthropomorphic cardiac phantom containing calcium inserts of different concentrations and sizes. With institutional review board approval and HIPAA compliance, coronary calcium imaging data of 110 consecutive patients (mean age ± standard deviation, 58.2 years ± 9.8; 48 men) were reconstructed with filtered back projection (FBP), iterative reconstruction in image space (IRIS), and sinogram-affirmed iterative reconstruction (SAFIRE). Image noise was measured and the Agatston score was obtained for all reconstructions. Assignment to Agatston scores and percentile-based cardiac risk categories was compared. Statistical analysis included the Cohen k coefficient and Friedman and Wilcoxon testing. Results: In vitro, mean Agatston scores ± standard deviation for FBP (638.9 ± 9.6), IRIS (622.7 ± 15.2), and SAFIRE (631.4 ± 17.6) were comparable (P =.30). The smallest phantom calcifications were more frequently detected when iterative reconstruction techniques were used. The Agatston scores in the patient cohort were not significantly different among FBP, IRIS, and SAFIRE in paired comparisons (median Agatston score [25th and 75th percentiles]: 76.0 [20.6, 243.9], 76.4 [22, 249.3], and 75.7 [21.5, 49.1], respectively; P =.20 each). Comparison of categorization based on Agatston score percentiles showed excellent agreement for both IRIS and SAFIRE with FBP (k = 0.975 [0.942-1.00] and k = 0.963 [0.922-1.00], respectively). The mean effective dose was 1.02 mSv ± 0.51. Mean image noise was significantly (P <.001) higher with FBP than that with iterative reconstructions. Conclusion: In comparison with FBP, iterative reconstruction techniques do not have a profound effect on the reproducible quantification of coronary calcium according to Agatston score and subsequent cardiac risk classification, although risk reclassification may occur in a small subset of subjects.
机译:目的:研究体外和体内使用基于图像和基于原始数据的迭代重建算法,通过使用Agatston评分和随后的心脏风险分层量化冠状动脉钙的含量。材料和方法:使用包含不同浓度和大小的钙插入物的移动拟人心脏幻像获得体外数据。经机构审查委员会批准并符合HIPAA标准,采用过滤反投影(FBP),图像空间迭代重建(IRIS)重建了110例连续患者(平均年龄±标准差,58.2岁±9.8; 48名男性)的冠状动脉钙成像数据。 ,以及经过正弦图确认的迭代重建(SAFIRE)。测量图像噪声并获得所有重建的Agatston评分。比较了Agatston评分和基于百分位数的心脏风险类别的分配。统计分析包括Cohen k系数以及Friedman和Wilcoxon检验。结果:在体外,FBP(638.9±9.6),IRIS(622.7±15.2)和SAFIRE(631.4±17.6)的平均Agatston分数±标准差可比(P = .30)。当使用迭代重建技术时,最小的幻影钙化更频繁地被检测到。在配对比较中,患者队列中的Agatston评分在FBP,IRIS和SAFIRE之间没有显着差异(Agatston评分中位数[第25和75个百分位数]:76.0 [20.6、243.9],76.4 [22、249.3]和75.7 [21.5] ,分别为49.1];每个P = .20)。基于Agatston分数百分位数的分类比较显示,IRIS和SAFIRE与FBP的一致性极好(分别为k = 0.975 [0.942-1.00]和k = 0.963 [0.922-1.00])。平均有效剂量为1.02 mSv±0.51。 FBP的平均图像噪声显着(P <.001)高于迭代重建。结论:与FBP相比,根据Agatston评分和随后的心脏风险分类,迭代重建技术对冠状动脉钙离子的可再现定量没有重大影响,尽管风险的重新分类可能发生在一小部分受试者中。

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