HAL (France)
open access
Deep-learning image reconstruction algorithms for CT: A task-based image quality assessment of four CT systems using a phantom
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 performed on an image quality phantom at three do
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