Fig. 4
From: Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction
Qualitative image analysis of chest and abdomen CT from different reconstruction techniques. The four-point scale was used as follows; superior (4), average (3), suboptimal (2), unacceptable (1). Deep learning reconstruction (DLR) showed better overall image quality and noise compared with 50% adaptive statistical iterative reconstruction-V (ASIR-V); however, artifacts were not different between different reconstruction techniques. ASIR-V 50 50% adaptive statistical iterative reconstruction-V, ASIR-V 100 100% ASIR-V, DLR-M medium strength deep learning reconstruction, DLR-H high strength DLR