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支架在新型硅基光子计数 CT 原型中的表现:与传统能量积分 CT 的头对头离体对比 phantom 研究。

Stent appearance in a novel silicon-based photon-counting CT prototype: ex vivo phantom study in head-to-head comparison with conventional energy-integrating CT.

机构信息

Department of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZB), Laarbeeklaan 101, 1090, Brussels, Belgium.

GE Healthcare, Waukesha, WI, 53188, USA.

出版信息

Eur Radiol Exp. 2023 Apr 25;7(1):23. doi: 10.1186/s41747-023-00333-0.

DOI:10.1186/s41747-023-00333-0
PMID:37097376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10130245/
Abstract

BACKGROUND

In this study, stent appearance in a novel silicon-based photon-counting computed tomography (Si-PCCT) prototype was compared with a conventional energy-integrating detector CT (EIDCT) system.

METHODS

An ex vivo phantom was created, consisting of a 2% agar-water mixture, in which human-resected and stented arteries were individually embedded. Using similar technique parameters, helical scan data was acquired using a novel prototype Si-PCCT and a conventional EIDCT system at a volumetric CT dose index (CTDI) of 9 mGy. Reconstructions were made at 50 and 150 mm field-of-views (FOVs) using a bone kernel and adaptive statistical iterative reconstruction with 0% blending. Using a 5-point Likert scale, reader evaluations were performed on stent appearance, blooming and inter-stent visibility. Quantitative image analysis was performed on stent diameter accuracy, blooming and inter-stent distinction. Qualitative and quantitative differences between Si-PCCT and EIDCT systems were tested with a Wilcoxon signed-rank test and a paired samples t-test, respectively. Inter- and intra-reader agreement was assessed using the intraclass correlation coefficient (ICC).

RESULTS

Qualitatively, Si-PCCT images were rated higher than EIDCT images at 150-mm FOV, based on stent appearance (p = 0.026) and blooming (p = 0.015), with a moderate inter- (ICC = 0.50) and intra-reader (ICC = 0.60) agreement. Quantitatively, Si-PCCT yielded more accurate diameter measurements (p = 0.001), reduced blooming (p < 0.001) and improved inter-stent distinction (p < 0.001). Similar trends were observed for the images reconstructed at 50-mm FOV.

CONCLUSIONS

When compared to EIDCT, the improved spatial resolution of Si-PCCT yields enhanced stent appearance, more accurate diameter measurements, reduced blooming and improved inter-stent distinction.

KEY POINTS

• This study evaluated stent appearance in a novel silicon-based photon-counting computed tomography (Si-PCCT) prototype. • Compared to standard CT, Si-PCCT resulted in more accurate stent diameter measurements. • Si-PCCT also reduced blooming artefacts and improved inter-stent visibility.

摘要

背景

本研究比较了新型硅基光子计数计算机断层扫描(Si-PCCT)原型机与常规能量积分探测器 CT(EIDCT)系统中支架的成像表现。

方法

制作了一个包含 2%琼脂水混合物的离体血管模型,其中单独嵌入了人切除和支架置入的动脉。使用类似的技术参数,在容积 CT 剂量指数(CTDI)为 9mGy 的情况下,使用新型 Si-PCCT 原型机和常规 EIDCT 系统进行螺旋扫描数据采集。使用骨核和自适应统计迭代重建(0%混合),在 50mm 和 150mm 视野(FOV)下进行重建。采用 5 分李克特量表,由 2 名读者对支架外观、blooming 和支架间可视性进行评价。对支架直径准确性、blooming 和支架间区分进行定量图像分析。使用 Wilcoxon 符号秩检验和配对样本 t 检验分别对 Si-PCCT 和 EIDCT 系统之间的定性和定量差异进行检验。使用组内相关系数(ICC)评估读者间和读者内的一致性。

结果

定性分析显示,在 150mm FOV 下,Si-PCCT 图像的支架外观(p=0.026)和 blooming(p=0.015)评分均高于 EIDCT 图像,且读者间(ICC=0.50)和读者内(ICC=0.60)的一致性均为中度。定量分析显示,Si-PCCT 可获得更准确的直径测量值(p=0.001),减少 blooming(p<0.001)并改善支架间的区分(p<0.001)。在 50mm FOV 下,也观察到类似的趋势。

结论

与 EIDCT 相比,Si-PCCT 的空间分辨率提高,从而改善了支架的成像外观,提高了支架直径测量的准确性,减少了 blooming 伪影,改善了支架间的区分。

重点

•本研究评估了新型硅基光子计数计算机断层扫描(Si-PCCT)原型机中支架的成像表现。•与标准 CT 相比,Si-PCCT 可获得更准确的支架直径测量值。•Si-PCCT 还减少了 blooming 伪影,改善了支架间的可视性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/86e8ca094503/41747_2023_333_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/b70aa54af602/41747_2023_333_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/4587b988b6d3/41747_2023_333_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/48b358bfdd6e/41747_2023_333_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/86e8ca094503/41747_2023_333_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/b70aa54af602/41747_2023_333_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/82440936f1d0/41747_2023_333_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/6c75519af232/41747_2023_333_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/4587b988b6d3/41747_2023_333_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/48b358bfdd6e/41747_2023_333_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ce/10130245/86e8ca094503/41747_2023_333_Fig6_HTML.jpg

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