Comparison of quantitative image quality of cardiac computed tomography between raw-data-based and model-based iterative reconstruction algorithms with an emphasis on image sharpness.

IF 2.3 3区医学 Q2 PEDIATRICS Pediatric Radiology Pub Date : 2020-10-01 Epub Date: 2020-06-26 DOI:10.1007/s00247-020-04741-x

Ki Baek Lee, Hyun Woo Goo

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引用次数: 10

Abstract

Background: Image sharpness is commonly degraded on cardiac CT images reconstructed using iterative reconstruction algorithms.

Objective: To compare the image quality of cardiac CT between raw-data-based and model-based iterative reconstruction algorithms developed by the same CT vendor in children and young adults with congenital heart disease.

Materials and methods: In 29 patients with congenital heart disease, we reconstructed 39 cardiac CT datasets using raw-data-based and model-based iterative reconstruction algorithms. We performed quantitative analysis of image sharpness using distance_25-75% and angle_25-75% on a line density profile across an edge of the descending thoracic aorta in addition to CT attenuation, image noise, signal-to-noise ratio and contrast-to-noise ratio. We compared these quantitative image-quality measures between the two algorithms.

Results: CT attenuation did not show significant differences between the algorithms (P>0.05) except in the aorta. Image noise was small but significantly higher in the model-based algorithm than in the raw-data-based algorithm (4.8±2.3 Hounsfield units [HU] vs. 4.7±2.1 HU, P<0.014). Signal-to-noise ratio (110.2±50.9 vs. 108.4±50.4, P=0.050) and contrast-to-noise ratio (91.0±45.7 vs. 89.6±45.1, P=0.063) showed marginal significance between the two algorithms. The model-based algorithm showed a significantly smaller distance_25-75% (1.4±0.4 mm vs. 1.6±0.3 mm, P<0.001) and a significantly higher angle_25-75% (77.0±4.3° vs. 74.1±5.7°, P<0.001) than the raw-data-based algorithm.

Conclusion: Compared with the raw-data-based algorithm, the model-based iterative reconstruction algorithm demonstrated better image sharpness and higher image noise on cardiac CT in patients with congenital heart disease.

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基于原始数据和基于模型的迭代重建算法对心脏计算机断层定量图像质量的比较，重点关注图像清晰度。

背景:使用迭代重建算法重建心脏CT图像时，图像清晰度通常会下降。目的:比较同一家CT供应商开发的基于原始数据和基于模型的迭代重建算法在儿童和青少年先天性心脏病中的图像质量。材料与方法:采用基于原始数据和基于模型的迭代重建算法，对29例先天性心脏病患者的39个心脏CT数据集进行了重建。除了CT衰减、图像噪声、信噪比和对比噪声比外，我们还在胸降主动脉边缘的线密度剖面上使用距离25-75%和角度25-75%对图像清晰度进行了定量分析。我们比较了这两种算法之间的定量图像质量指标。结果:除主动脉CT衰减外，各算法间无显著差异(P>0.05)。基于模型的算法图像噪声较小，但明显高于基于原始数据的算法(4.8±2.3 Hounsfield单位[HU] vs. 4.7±2.1 HU, P25-75%(1.4±0.4 mm vs. 1.6±0.3 mm)， P25-75%(77.0±4.3°vs. 74.1±5.7°)。结论:与基于原始数据的算法相比，基于模型的迭代重建算法在先天性心脏病患者心脏CT上表现出更好的图像清晰度和更高的图像噪声。

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来源期刊

Pediatric Radiology 医学-核医学

CiteScore

4.40

自引率

17.40%

发文量

300

审稿时长

3-6 weeks

期刊介绍： Official Journal of the European Society of Pediatric Radiology, the Society for Pediatric Radiology and the Asian and Oceanic Society for Pediatric Radiology Pediatric Radiology informs its readers of new findings and progress in all areas of pediatric imaging and in related fields. This is achieved by a blend of original papers, complemented by reviews that set out the present state of knowledge in a particular area of the specialty or summarize specific topics in which discussion has led to clear conclusions. Advances in technology, methodology, apparatus and auxiliary equipment are presented, and modifications of standard techniques are described. Manuscripts submitted for publication must contain a statement to the effect that all human studies have been reviewed by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards laid down in an appropriate version of the 1964 Declaration of Helsinki. It should also be stated clearly in the text that all persons gave their informed consent prior to their inclusion in the study. Details that might disclose the identity of the subjects under study should be omitted.