Deep Learning Reconstruction for Ultra-High-Resolution Photon-Counting CT of the Lung: Image Quality and Texture Characterization
Objectives: To characterize image noise, lesion contrast, spatial resolution, and attenuation distribution for deep learning reconstruction (DLR) compared with hybrid iterative reconstruction (IR) in ultra-high-resolution (UHR) photon-counting CT (PCCT) of the lung, using a patient-derived 3D-printed phantom, and to ap...