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Zhongxing Zhou
Mayo Clinic
Image Quality Evaluation In Deep-Learning-Based CT Noise Reduction Using Virtual Imaging Trial Methods: Lesion Characterization
Deep learning-based image reconstruction and noise reduction (DLR) techniques are increasingly adopted in clinical CT to improve image quality at reduced radiation doses. While prior studies have demonstrated benefits for lesion detection, DLR performance in...
Poster Program · Diagnostic and Interventional Radiology Physics
BEST IN PHYSICS (IMAGING): Automated Measurement and Monitoring of Patient-Specific Model-Observer-Based Lesion Detectability In CT Exams
Measuring and monitoring dose and noise for each patient exam has been proposed as part of a quality program for routine CT practice. Mathematical model observers have been recognized as more meaningful methods than noise level alone for image quality assessm...
Proffered Program · Diagnostic and Interventional Radiology Physics