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比较不同迭代重建算法联合对比增强技术在肥胖患者 CT 肺动脉造影图像质量方面的应用。

Comparison of different iterative reconstruction algorithms with contrast-enhancement boost technique on the image quality of CT pulmonary angiography for obese patients.

机构信息

Imaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.

Canon Medical Systems (China), Beijing, 100015, China.

出版信息

BMC Med Imaging. 2024 Oct 18;24(1):279. doi: 10.1186/s12880-024-01447-6.

Abstract

OBJECTIVE

To evaluate the effect of the contrast-enhancement-boost (CE-boost) postprocessing technique on improving the image quality of obese patients in computed tomography pulmonary angiography (CTPA) compared to hybrid iterative reconstruction (HIR) and model-based iterative reconstruction (MBIR) algorithms.

METHODS

This prospective study was conducted on 100 patients who underwent CTPA for suspected pulmonary embolism. Non-obese patients with a body mass index (BMI) under 25 were designated as group 1, while obese patients (group 2) had a BMI exceeding 25. The CE-boost images were generated by subtracting non-contrast HIR images from contrast-enhanced HIR images to improve the visibility of pulmonary arteries further. The CT value, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were quantitatively assessed. Two chest radiologists independently reviewed the CT images (5, best; 1, worst) across three subjective characteristics including diagnostic confidence, subjective image noise, and vascular contrast. The Friedman test and Dunn-Bonferroni correction were used for statistical analysis.

RESULTS

The CE-boost had significantly higher CT values than HIR and MBIR in both groups (all p < 0.001). The MBIR yielded the lowest image noise compared with HIR and CE-boost (all p < 0.001). The SNR and CNR of main pulmonary artery (MPA) were significantly higher in CE-boost than in MBIR (all p < 0.05), with HIR showing the lowest values (all p < 0.001). Group 2 MBIR received significantly better subjective image noise scores, while the diagnostic confidence and vascular contrast scored highest with the group 2 CE-boost (all p < 0.05).

CONCLUSION

Compared to the HIR algorithm, both the CE-boost technique and the MBIR algorithm can improve the image quality of CTPA in obese patients. CE-boost had the greatest potential in increasing the visualization of pulmonary artery and its branches.

摘要

目的

评估对比增强增强(CE-增强)后处理技术在提高疑似肺动脉栓塞 CT 肺动脉造影(CTPA)中肥胖患者图像质量方面的效果,与混合迭代重建(HIR)和基于模型的迭代重建(MBIR)算法相比。

方法

本前瞻性研究纳入了 100 例疑似肺栓塞患者行 CTPA。非肥胖患者的体重指数(BMI)低于 25 被指定为第 1 组,而肥胖患者(第 2 组)BMI 超过 25。CE-增强图像是通过从增强 HIR 图像中减去非对比 HIR 图像生成的,以进一步提高肺动脉的可见度。对 CT 值、图像噪声、信噪比(SNR)和对比噪声比(CNR)进行定量评估。两位胸部放射科医生独立评估了 CT 图像(5 分表示最佳,1 分表示最差)的三个主观特征,包括诊断信心、主观图像噪声和血管对比度。采用 Friedman 检验和 Dunn-Bonferroni 校正进行统计学分析。

结果

CE-增强在两组中均显著提高了 CT 值,高于 HIR 和 MBIR(均 P<0.001)。MBIR 产生的图像噪声明显低于 HIR 和 CE-增强(均 P<0.001)。CE-增强的主肺动脉(MPA)的 SNR 和 CNR 明显高于 MBIR(均 P<0.05),而 HIR 的值最低(均 P<0.001)。第 2 组 MBIR 获得的主观图像噪声评分明显更好,而第 2 组 CE-增强的诊断信心和血管对比度评分最高(均 P<0.05)。

结论

与 HIR 算法相比,CE-增强技术和 MBIR 算法都可以提高肥胖患者 CTPA 的图像质量。CE-增强在增加肺动脉及其分支的可视化方面具有最大的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23d5/11488249/4077537c9a6e/12880_2024_1447_Fig1_HTML.jpg

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