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噪声优化的虚拟单能量重建技术在双能 CT 中的应用价值,用于经导管主动脉瓣置换术的规划。

Value of a noise-optimized virtual monoenergetic reconstruction technique in dual-energy CT for planning of transcatheter aortic valve replacement.

机构信息

Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.

出版信息

Eur Radiol. 2017 Feb;27(2):705-714. doi: 10.1007/s00330-016-4422-3. Epub 2016 May 28.

Abstract

OBJECTIVES

To evaluate objective and subjective image quality of a noise-optimized virtual monoenergetic imaging (VMI+) reconstruction technique in dual-energy computed tomography (DECT) angiography prior to transcatheter aortic valve replacement (TAVR).

METHODS

Datasets of 47 patients (35 men; 64.1 ± 10.9 years) who underwent DECT angiography of heart and vascular access prior to TAVR were reconstructed with standard linear blending (F_0.5), VMI+, and traditional monoenergetic (VMI) algorithms in 10-keV intervals from 40-100 keV. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of 564 arterial segments were evaluated. Subjective analysis was rated by three blinded observers using a Likert scale.

RESULTS

Mean SNR and CNR were highest in 40 keV VMI+ series (SNR, 27.8 ± 13.0; CNR, 26.3 ± 12.7), significantly (all p < 0.001) superior to all VMI series, which showed highest values at 70 keV (SNR, 18.5 ± 7.6; CNR, 16.0 ± 7.4), as well as linearly-blended F_0.5 series (SNR, 16.8 ± 7.3; CNR, 13.6 ± 6.9). Highest subjective image quality scores were observed for 40, 50, and 60 keV VMI+ reconstructions (all p > 0.05), significantly superior to all VMI and standard linearly-blended images (all p < 0.01).

CONCLUSIONS

Low-keV VMI+ reconstructions significantly increase CNR and SNR compared to VMI and standard linear-blending image reconstruction and improve subjective image quality in preprocedural DECT angiography in the context of TAVR planning.

KEY POINTS

• VMI+ combines increased contrast with reduced image noise. • VMI+ shows substantially less image noise than traditional VMI. • 40-keV reconstructions show highest SNR/CNR of the aortic and iliofemoral access route. • Observers overall prefer 60 keV VMI+ images. • VMI+ DECT imaging helps improve image quality for TAVR planning.

摘要

目的

在经导管主动脉瓣置换术(TAVR)前,评估双能计算机断层扫描(DECT)血管造影中噪声优化的虚拟单能量成像(VMI+)重建技术的客观和主观图像质量。

方法

对 47 例(男 35 例;64.1±10.9 岁)患者的心和血管通路 DECT 血管造影进行研究,使用标准线性混合(F_0.5)、VMI+和传统单能量(VMI)算法,在 40-100 keV 之间以 10 keV 的间隔进行重建。评估 564 个动脉节段的信噪比(SNR)和对比噪声比(CNR)。三位盲法观察者使用李克特量表进行主观分析。

结果

40 keV VMI+系列的平均 SNR 和 CNR 最高(SNR,27.8±13.0;CNR,26.3±12.7),明显高于所有 VMI 系列(70 keV 时最高,SNR,18.5±7.6;CNR,16.0±7.4),以及线性混合 F_0.5 系列(SNR,16.8±7.3;CNR,13.6±6.9)。40、50 和 60 keV VMI+重建的主观图像质量评分最高(均 p>0.05),明显优于所有 VMI 和标准线性混合图像(均 p<0.01)。

结论

与 VMI 和标准线性混合图像重建相比,低 keV VMI+重建可显著提高 CNR 和 SNR,并可改善 TAVR 计划前 DECT 血管造影的主观图像质量。

关键要点

  • VMI+ 结合了更高的对比度和更低的图像噪声。

  • VMI+ 的图像噪声明显低于传统 VMI。

  • 40 keV 重建显示主动脉和髂股通路的 SNR/CNR 最高。

  • 观察者总体更喜欢 60 keV VMI+ 图像。

  • VMI+ DECT 成像有助于改善 TAVR 计划的图像质量。

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