Diagnostic and interventional imaging
Deep-learning image reconstruction algorithms for CT: A task-based image quality assessment of four CT systems using a phantom.
Joël Greffier, Alexa Liogier, Maxime Pastor, Fabien de Oliveira, Quentin Chaine, Skander Sammoud, Jean Paul Beregi, Djamel Dabli
Published: 202610.1016/j.diii.2026.01.003
Abstract
PURPOSE: The purpose of this study was to assess the performance of iterative reconstruction (IR) and deep-learning image reconstruction (DLR) algorithms developed by four CT vendors in terms of image quality. MATERIALS AND METHODS: Acquisitions were…
Preview only. Read the full abstract at the source