蒋耀军,高剑波,刘杰,侯平,查开继,练延帮,吕培杰.低管电压迭代重建模型在冠状动脉CTA中的应用[J].中国医学影像技术,2016,32(11):1753~1756
低管电压迭代重建模型在冠状动脉CTA中的应用
Application of iterative model reconstruction with low tube voltage in cardiac CTA
投稿时间:2016-05-25  修订日期:2016-07-19
DOI:10.13929/j.1003-3289.2016.11.034
中文关键词:  冠状动脉  体层摄影术,X线计算机  迭代重建  图像处理,计算机辅助
英文关键词:Coronary  Tomography, X-ray computed  Iterative reconstruction  Image processing, computer-assisted
基金项目:河南省重点科技攻关项目(10.3760/cma.j.issn.1005-1201.2014.06.017)。
作者单位E-mail
蒋耀军 郑州大学第一附属医院放射科, 河南 郑州 450052  
高剑波 郑州大学第一附属医院放射科, 河南 郑州 450052 cjr.gaojianbo@vip.163.com 
刘杰 郑州大学第一附属医院放射科, 河南 郑州 450052  
侯平 郑州大学第一附属医院放射科, 河南 郑州 450052  
查开继 郑州大学第一附属医院放射科, 河南 郑州 450052  
练延帮 郑州大学第一附属医院放射科, 河南 郑州 450052  
吕培杰 郑州大学第一附属医院放射科, 河南 郑州 450052  
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中文摘要:
      目的 探讨低管电压迭代重建模型(IMR)在冠状动脉CTA中的应用价值。方法 选取30例疑似冠状动脉心脏病患者,均进行前瞻性心电门控心脏256层MSCT扫描。若体质量指数(BMI)≥25 kg/m2,管电压为100 kV;反之,则为80 kV。分别采用滤波反投影(FBP,A组)、高级混合迭代重建(iDose4,B组)和IMR(C组)进行重建。分别测量3组图像主动脉根部的CT值、噪声,并计算SNR和CNR。对图像伪影、管腔边缘的锐利度、主观噪声、总体图像质量以及冠状动脉各主干血管图像质量进行主观评分,进行统计学分析。结果 3组图像的噪声、SNR以及CNR差异有统计学意义(P均<0.05)。噪声由大到小依次为A组、B组和C组(P均<0.05)。SNR和CNR由大到小依次为C组、B组和A组(P均<0.05)。C组噪声、血管边缘锐利度、总体图像质量、冠状动脉各主干血管主观评分显著高于A组和B组(P均<0.05)。B组图像伪影评分显著高于A组和C组(P均<0.05),且A组与C组图像伪影评分差异无统计学意义(P>0.05)。结论 IMR可显著降低冠状动脉血管成像的图像噪声,提高图像SNR和CNR。
英文摘要:
      Objective To investigate the application value of iterative model reconstruction (IMR) with low tube voltage in cardiac CTA. Methods Thirty patients with suspected coronary heart diseases were selected, who all underwent ECG-gated MSCT scan. If body mass index (BMI)≥25 kg/m2, tube voltage was 100 kV, whereas normal tube voltage was 80 kV. The filtered back projection (FBP, group A), iDose4 (group B) and IMR (group C) was carried out. The CT value and image noise of ascending aortic root were measured, and SNR and CNR were calculated. Subjective scoring were carried out, including image artifacts, lumen marginal sharpness, subjective noise, overall image quality and coronary artery trunks. Statistical analysis was performed. Results There was significant difference in image noise, SNR and CNR among three groups (all P<0.05). Image noise was the highest in group A, and the lowest in group C (all P<0.05). SNR and CNR were the highest in group C, and the lowest in group A (all P<0.05). Scores of noise, lumen marginal sharpness, overall image quality and coronary artery trunks in group C were higher than those of group A and group B (all P<0.05). Image artifacts score in group B was higher than that of group A and C (all P<0.05), and image artifacts score difference in group A and group C had no statistical significance (P>0.05). Conclusion IMR can significantly reduce image noise and increase SNR and CNR in coronary artery CTA image.
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