JOURNAL OF CHINA MEDICAL IMAGING  2018, Vol. 29 Issue (5): 351-351    DOI:
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The clinical study of the relationship between different iterative reconstruction technique and image quality in low dose chest CT
LI Chun-zhi, WANG Wen-sheng, ZHANG Yi, YU Xiao-jing, ZHANG Hai-ping
Department of Computed Tomography, Xiyuan Hospital China Academy of Chinese Medical Sciences, Beijing 100091, China
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Abstract  Objective: To investigate the effectiveness of reducing radiation dose in chest CT without compromising the image quality, by using iterative reconstruction technique(iDOSE4). Methods: Totally 180 subjects who underwent chest CT scanning were divided into 6 dose groups in turn. Different groups represent different scanning conditions. Compared the different tissue CT number between different groups. Results: The differences of standard deviation in lung and bone markings among A2 group, B group and C group were not statistically significant. The differences of standard deviation in lung and bone markings between A1 group and D group were not statistically significant, but this two groups have significant difference with E group and F group. The standard deviation in muscle markings between A1 group and C group, and in the main artery markings between A1 group and B group have no significant differences, but there were significant differences among other groups. And the standard deviation increased in the order of A2, B, A1 and C, D, E, F. Conclusion: Philip iCT can effectively reduce the radiation dose by using iterative reconstruction technique(iDOSE4), and 120 kV/100 mAs can be used as the suitable low-dose chest computed tomography scanning protocol.
Key wordsThoracic diseases      Tomography, spiral computed     
Received: 19 December 2016     
PACS:  R561  
  R814.42  
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LI Chun-zhi
WANG Wen-sheng
ZHANG Yi
YU Xiao-jing
ZHANG Hai-ping
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LI Chun-zhi,WANG Wen-sheng,ZHANG Yi, et al. The clinical study of the relationship between different iterative reconstruction technique and image quality in low dose chest CT[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(5): 351-351.
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