EFFECTS OF SMOOTH, MEDIUM SMOOTH AND MEDIUM RECONSTRUCTION KERNELS ON IMAGE QUALITY IN THREE-PHASE CT OF LIVER

Reconstruction kernel is one of the parameters that affects computed tomography (CT) image quality. This study aimed to evaluate effects applying three different reconstruction kernels on quality in 3-phased CT liver. A total 63 liver images including normal (n = 43) and lesion 20) were retrospectively reviewed. Smooth (B20f), medium smooth (B30f) (B40f) employed process. Mean attenuation, noise, signal-to-noise ratio (SNR) values from each quantified compared among those using One Way Analysis Variance (ANOVA) statistical analysis. Significant changes noise SNR observed (p < 0.001, respectively) following application kernels. However, no significant mean demonstrated > 0.05). Application (B30f), reconstructions would significantly affect instead lesions. Hence, proper selection important improve precision diagnostic interpretation.