Clinical Value of Adaptive Statistical Iterative Reconstruction Algorithm in Lowering CT Scanning Radiation Dosage for Patients with Hepatic Disease

Objective To investigate the clinical application of adaptive statistical iterative reconstruction( ASiR) algorithm in low dose CT scanning for patients with hepatic disease. Methods A total of 90 patients who underwent abdomen CT scanning were enrolled in this study. The patients were equally divided into three groups with 30 cases in each group.Automatic tube current modulation scanning technique was used,and the preset noise index( NI) for group A,B and C was 8,10 and 11 respectively. ASiR rate was set at 30% for all three groups. Dose length product( DLP) was recorded and effective dosage( ED) was estimated. Image noise was measured and image quality was assessed by two radiologists with a 5 point scale. Results The image quality of all three groups met the diagnostic requirements. The effective dosage of group A,B and C was( 5. 76 ± 1. 80) mSv,( 3. 35 ± 1. 35) mSv and( 2. 57 ± 0. 67) mSv respectively. Conclusion ASiR combined with automatic tube current modulation can significantly reduce CT scanning radiation dosage for patients with hepatic disease.