Impact of pre-setted adaptive statistical iterative reconstruction Veo on radiation dose and image quality of chest CT scanning: Chest model and clinical study / 中国医学影像技术

ABSTRACT

Objective To explore the impact of pre-setted generation adaptive statistical iterative reconstruction Veo (ASiR-V) on chest CT radiation dose and image quality.Methods The chest model and 120 patients (divided into 6 groups,each n=20) were scanned by GE Revolution CT under the condition of pre-setted ASiR-V weights for 0,20％,40％,60％,80％ and 100％ respectively.The tube voltage was 120 kV,the tube current was automated mAs (Smart mA10-500) technology,the noise index was 11.The dose-length product of each chest model group and patients group were record,the effective dose (ED) of each group was calculated and compared.The image quality among groups through combining the objective CT and standard deviation (SD) values of different organizations (lung tissue,the soft tissue near by spine,the aorta and vertebral body) in chest model and the image subjective rating of patients were compared,and the subjective score of patients' images was also compared among groups.Results With the increase of pre-setted ASiR-V,the ED of chest model and patients reduced as a logarithmic fitting,there are no obvious changes of the CT value and image noise SD value of different organizations in model.The subjective score of mediastinal and pulmonary window was begin to decline at 40％ weighted ASiR-V.The subjective score of mediastinal and pulmonary window descend obviously at 60％ weighted ASiR-V compare to 40％ (P＜0.05).ED of pre-setted 40％ weighted ASiR-V reduced to 57.21％ compared to that of 0 weighted ASiR-V.Conclusion The pre-setted ASiR-V can reduce the radiation dose,and does not affect the objective image quality at the same time.The pre-setted 40 ％ weighted ASiR-V has the highest clinical application value due to the radiation dose can be obviously reduced with ensuring the image quality,which can meet the demand of diagnosis.