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在对比增强CT冠状动脉造影中使用特定厂商的基于模型的迭代重建算法改进冠状动脉斑块和管腔衰减的估计

Improved Estimation of Coronary Plaque and Luminal Attenuation Using a Vendor-specific Model-based Iterative Reconstruction Algorithm in Contrast-enhanced CT Coronary Angiography.

作者信息

Funama Yoshinori, Utsunomiya Daisuke, Hirata Kenichiro, Taguchi Katsuyuki, Nakaura Takeshi, Oda Seitaro, Kidoh Masafumi, Yuki Hideaki, Yamashita Yasuyuki

机构信息

Department of Medical Physics, Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Kumamoto 862-0976, Japan.

Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.

出版信息

Acad Radiol. 2017 Sep;24(9):1070-1078. doi: 10.1016/j.acra.2017.02.006. Epub 2017 Apr 7.

Abstract

RATIONALE AND OBJECTIVES

To investigate the stabilities of plaque attenuation and coronary lumen for different plaque types, stenotic degrees, lumen densities, and reconstruction methods using coronary vessel phantoms and the visualization of coronary plaques in clinical patients through coronary computed tomography (CT) angiography.

MATERIALS AND METHODS

We performed 320-detector volume scanning of vessel tubes with stenosis and a tube without stenosis using three types of plaque CT numbers. The stenotic degrees were 50% and 75%. Images were reconstructed with filtered back projection (FBP) and two types of iterative reconstructions (AIDR3D and FIRST [forward-projected model-based iterative reconstruction solution]), with stenotic CT number of approximately 40, 80, and 150 HU (Hounsfield unit), respectively. In each case, the tubing of the coronary vessel was filled with diluted contrast material and distilled water to reach the target lumen CT numbers of approximately 350 HU and 450 HU, and 0 HU, respectively. Peak lumen and plaque CT numbers were measured to calculate the lumen-plaque contrast. In addition, we retrospectively evaluated the image quality with regard to coronary arterial lumen and the plaque in 10 clinical patients on a 4-point scale.

RESULTS

At 50% stenosis, the plaque CT number with contrast enhancement increased for FBP and AIDR3D, and the difference in the plaque CT number with and without contrast enhancement was 15-44 HU for FBP and 10-31 HU for AIDR3D. However, the plaque CT number for FIRST had a smaller variation and the difference with and without contrast enhancement was -12 to 8 HU. The visual evaluation score for the vessel lumen was 2.8 ± 0.6, 3.5 ± 0.5, and 3.7 ± 0.5 for FBP, AIDR3D, and FIRST, respectively.

CONCLUSIONS

The FIRST method controls the increase in plaque density and the lumen-plaque contrast. Consequently, it improves the visualization of coronary plaques in coronary CT angiography.

摘要

原理与目的

使用冠状动脉模型研究不同斑块类型、狭窄程度、管腔密度和重建方法下斑块衰减和冠状动脉管腔的稳定性,并通过冠状动脉计算机断层扫描(CT)血管造影观察临床患者冠状动脉斑块的可视化情况。

材料与方法

我们使用三种类型的斑块CT值对有狭窄的血管管和无狭窄的血管管进行了320排容积扫描。狭窄程度分别为50%和75%。图像采用滤波反投影(FBP)以及两种迭代重建方法(AIDR3D和FIRST [基于前向投影模型的迭代重建解决方案])进行重建,狭窄CT值分别约为40、80和150 HU(亨氏单位)。在每种情况下,冠状动脉血管的管道分别填充稀释造影剂和蒸馏水,以使目标管腔CT值分别达到约350 HU和450 HU以及0 HU。测量管腔和斑块的峰值CT值以计算管腔 - 斑块对比度。此外,我们回顾性地以4分制评估了10例临床患者冠状动脉管腔和斑块的图像质量。

结果

在50%狭窄时,FBP和AIDR3D的斑块CT值在增强造影剂后增加,有和没有增强造影剂时斑块CT值的差异,FBP为15 - 44 HU,AIDR3D为10 - 31 HU。然而,FIRST的斑块CT值变化较小,有和没有增强造影剂时的差异为 - 12至8 HU。FBP、AIDR3D和FIRST对血管管腔的视觉评估分数分别为2.8±0.6、3.5±0.5和3.7±0.5。

结论

FIRST方法可控制斑块密度的增加和管腔 - 斑块对比度。因此,它改善了冠状动脉CT血管造影中冠状动脉斑块的可视化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5af3/5557674/418dbee16ae1/nihms861742f1.jpg

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