Journal: Abdominal Radiology (New York)
Article Title: Image quality and radiologists’ subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studies
doi: 10.1007/s00261-021-03373-5
Figure Lengend Snippet: Parameters for CT scanning and reconstruction
Article Snippet: We reconstructed the phantom images using a standard kernel (FC03) and an HIR algorithm (Adaptive Iterative Dose Reconstruction [AIDR] 3D Standard, Canon Medical Systems) for those acquired with the routine protocol and using an MBIR algorithm (Forward-projected model-based Iterative ReconSTruction [FIRST] Body Standard, Canon Medical Systems) and a DLR algorithm (Advanced intelligent clear-IQ engine [AiCE] Body Standard, Canon Medical Systems) for those acquired with the HR & LD protocol.
Techniques: