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首页|期刊导航|中国医疗设备|多模型自适应统计迭代重建算法在颅脑CT扫描中最优权重组合的研究

多模型自适应统计迭代重建算法在颅脑CT扫描中最优权重组合的研究

朱超楠 田俊 孙文路 李前威 万婷婷 孙思阳

中国医疗设备2025,Vol.40Issue(9):134-138,173,6.
中国医疗设备2025,Vol.40Issue(9):134-138,173,6.DOI:10.3969/j.issn.1674-1633.20241310

多模型自适应统计迭代重建算法在颅脑CT扫描中最优权重组合的研究

Study on Optimal Weight Combination of Multi-model Adaptive Statistical Iterative Reconstruction in Cranial CT Scans

朱超楠 1田俊 1孙文路 1李前威 1万婷婷 1孙思阳1

作者信息

  • 1. 南京医科大学第二附属医院 放射影像科,江苏 南京 210011
  • 折叠

摘要

Abstract

Objective To explore the optimal combination of pre-and post-weights for adaptive statistical iterative reconstruction-V(ASIR-V)in cranial computed tomography(CT)examinations.Methods Ninety patients undergoing cranial CT plain scans were divided into groups A,B,and C(30 cases each)using the random number table method.Pre-ASIR-V weights of 20%,30%,and 40%were preset for groups A,B,and C before scanning,respectively.After scanning,image reconstruction was performed with post-ASIR-V weights of 50%,60%,70%,and 80%,yielding subgroups A5-A8,B5-B8,and C5-C8.Radiation dose parameters(DLP,CTDIvol),effective dose(ED),signal-to-noise ratio(SNR),and contrast-to-noise ratio(CNR)were recorded.Two radiologists conducted subjective image evaluation using a 5-point scale in a double-blinded manner.Results In objective evaluation,ED decreased linearly with increasing pre-ASIR-V weight(regression equation:y=-0.33x+2.71,r2=0.918,P<0.001).SNR and CNR in all subgroups increased with higher post-ASIR-V weights(P<0.001).Subjective scores showed a trend of first increasing then decreasing;subgroups A6,B7,and C7 had the highest scores at their respective pre-ASIR-V levels,with subgroup B7 scoring the highest overall.Conclusion At a noise index of 3 and tube voltage of 120 kV,using 30%pre-ASIR-V and 70%post-ASIR-V weights in cranial CT reduces noise,improves image quality,and significantly lowers patient radiation dose.

关键词

CT/颅脑CT/自适应统计迭代重建算法(ASIR-V)/辐射剂量/图像质量

Key words

computed tomography(CT)/cranial CT/adaptive statistical iterative reconstruction-V(ASIR-V)/radiation dose/image quality

分类

医药卫生

引用本文复制引用

朱超楠,田俊,孙文路,李前威,万婷婷,孙思阳..多模型自适应统计迭代重建算法在颅脑CT扫描中最优权重组合的研究[J].中国医疗设备,2025,40(9):134-138,173,6.

中国医疗设备

1674-1633

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