曹国全,陈晓,邰云鹏,李娜,潘勇,孙厚长,杨运俊.自适应迭代剂量降低重建算法对脑血管体模CT图像质量的影响[J].中国医学影像技术,2015,31(9):1414~1417 |
自适应迭代剂量降低重建算法对脑血管体模CT图像质量的影响 |
Adaptive iterative dose reduction algorithm in cerebrovascular phantom CT imaging |
投稿时间:2014-12-15 修订日期:2015-02-06 |
DOI:10.13929/j.1003-3289.2015.09.034 |
中文关键词: 体层摄影术,X线计算机 迭代重建 图像质量 脑血管 |
英文关键词:Tomography, X-ray computed Iterative reconstruction Image quality Cerebrovascular |
基金项目:温州市科技局科技计划项目(Y20130146)、浙江省自然科学基金项目(LY15H030016). |
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中文摘要: |
目的 探讨脑血管CT成像中自适应迭代剂量降低重建(AIDR)3D算法与图像质量的关系.方法 采用ATOM 701-D型成年男性仿真人头颅模型,配置碘水混合对比剂模拟脑血管.采用320排容积CT以100 kV、300 mA、0.5 s进行颅脑单圈扫描,分别采用AIDR 3D 4个等级(off、mild、standard、strong)进行图像重建.获得轴位血管CT值及噪声、脑组织CT值及噪声、SNR和CNR.不同迭代算法等级重建对图像质量的影响采用单因素方差分析. 结果 不同AIDR 3D等级重建的血管噪声、脑组织噪声、SNR、CNR差异均有统计学意义(P均 <0.05);血管CT值及脑组织CT值差异均无统计学意义(P均 >0.05).结论 不同AIDR 3D等级降低噪声效果和提高图像质量能力不同,等级越高,图像质量越高. |
英文摘要: |
Objective To study the relationship between adaptive iterative dose reduction (AIDR) 3D algorithm and image quality in cerebrovascular imaging. Methods A home-made blood vessel of brain was constructed using an ATOM 701-D adult male phantom head and iodine-water mixture contrast agent. A 320-row volume CT was used to scan the home-made brain at tube voltages of 100 kV and 300 mA in combination with off, mild, standard and strong AIDR levels (4 protocols in total), respectively. CT value of the transverse blood vessels and its noise, CT value of brain tissue and its noise, SNR and CNR were obtained. One-Way ANOVA analysis was applied to investigate the impacts of different iterative reconstruction levels to image quality. Results Noise of blood vessel and brain, SNR and CNR showed statistical difference (all P <0.05), while CT values of blood vessel and brain tissue had no statistical difference (all P >0.05) at different iterative reconstruction levels. Conclusion The effect of reducing noise and improving image quality are different according to different AIDR 3D levels. The image quality is higher when the AIDR 3D level is higher. |
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