何长久,周鹏,胡仕北,等.迭代算法对超低剂量CT肺部扫描图像质量影响的体模研究[J].中华放射医学与防护杂志,2019,39(2):145-149.He Changjiu,Zhou Peng,Hu Shibei,et al.Phantom study of the influence of iterative algorithm on image quality in ultra-low-dose CT scan of lung[J].Chin J Radiol Med Prot,2019,39(2):145-149
迭代算法对超低剂量CT肺部扫描图像质量影响的体模研究
Phantom study of the influence of iterative algorithm on image quality in ultra-low-dose CT scan of lung
投稿时间:2018-08-16  
DOI:10.3760/cma.j.issn.0254-5098.2019.02.012
中文关键词:  体层摄影术    辐射剂量  图像质量  迭代算法
英文关键词:Tomography, X-ray computed  Lung  Radiation dosage  Image quality  Iterative algorithm
基金项目:四川省科技计划项目(2017JY0080、2018SZ0183)
作者单位E-mail
何长久 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
 
周鹏 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
 
胡仕北 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
2729536031@qq.com 
青浩渺 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
 
董晓蕾 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
 
李海烈 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
 
李德珊 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
 
龙海飘 四川省肿瘤医院·
研究所 四川省癌症防治中心 电子科技大学医学院放射科, 成都 610041 
 
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中文摘要:
      目的 探讨迭代算法对超低剂量CT肺部扫描图像质量的影响。方法 采用不同方案对胸部仿真体模行CT扫描。超低剂量方案:管电压分为80和100 kV组,每组分别采用10、15、20、25、30 mAs扫描。常规低剂量方案:120 kV、30 mAs。各方案均采用滤波反投影法(FBP组)和迭代算法重建(迭代组)。比较各方案的肺组织噪声和有效剂量(E)。结果 管电流和管电压一定时,迭代组的肺组织噪声均低于FBP组,差异均有统计学意义(t=1.102~8.070,P<0.05)。管电流一定时,80 kV时FBP组的肺组织噪声均高于100 kV时FBP组,80 kV时迭代组的肺组织噪声均低于100 kV时FBP组,差异均有统计学意义(t=-8.639~7.841,P<0.05)。与常规低剂量方案FBP组相比,各超低剂量方案FBP组的肺组织噪声明显增加,80 kV时10、15、20 mAs迭代组的肺组织噪声明显增加,100 kV时15、20、25、30 mAs迭代组的肺组织噪声明显降低,差异均有统计学意义(t=-8.140~23.028,P<0.05)。80 kV时25、30 mAs和100 kV时10 mAs迭代组的肺组织噪声与常规低剂量方案FBP组比较,差异均无统计学意义(P>0.05)。80 kV时25、30 mAs和100 kV时10、15、20、25、30 mAs的E较常规低剂量组分别降低了75.9%、71.0%、79.8%、70.4%、60.3%、50.2%、40.0%。结论 超低剂量方案(100 kV、10 mAs)迭代算法组的图像质量与常规低剂量方案FBP组相当,且辐射剂量明显降低。
英文摘要:
      Objective To explore the influence of iterative algorithm on image quality in ultra-low-dose CT scan of lung. Methods The thoracic model was scanned using different parameter combinations. The tube voltage was chose with 80, 100 kV in ultra-low dose group and the mAs was selected by 10, 15, 20, 25 and 30 mAs. The control group selected the parameters of 120 kV, 30 mAs. All the images were reconstructed with filtered back projection (FBP group) and iterative algorithm (IR group). The image noise and effective dose (E) were compared. Results When tube current and voltage were constant, the image noise of IR group was lower than that of FBP group, and the difference was statistically significant (t=1.102-8.070,P<0.05). When the tube current was constant, the image noise of the 80 kV with FBP group was higher than that of 100 kV with FBP group, and the image noise of the 80 kV with IR group was lower than the 100 kV with FBP group(t=-8.639-7.841,P<0.05). Compared with the conventional low-dose with FBP group, the image noise of each ultra-low-dose with FBP group was significantly increased, and the image noise of (80 kV, 10 mAs), (80 kV, 15 mAs), (80 kV, 20 mAs) with IR group was significantly increased, and the image noise of (100 kV, 15 mAs), (100 kV, 20 mAs), (100 kV, 25 mAs), (100 kV, 30 mAs) with IR group was significantly reduced (t=-8.140-23.028,P<0.05). There was no significant difference in image noise between the groups of (80 kV, 25 mAs), (80 kV, 30 mAs), (100 kV, 10 mAs) with IR and the group of conventional low dose with FBP (P>0.05). Compared with the conventional low dose group, the E of the groups of (80 kV, 25 mAs), (80 kV, 30 mAs), (100 kV, 10 mAs), (100 kV, 15 mAs), (100 kV, 20 mAs), (100 kV, 25 mAs), (100 kV, 30 mAs) was decreased by 75.9%, 71.0%, 79.8%, 70.4%, 60.3%, 50.2%, 40.0%, respectively. Conclusions The image quality of the ultra-low dose protocol (100 kV, 10mAs) with iterative algorithm is similar to that of the conventional low dose with FBP group, and the radiation dose could be significantly reduced.
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