Original paper
Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra–Low-Dose Chest CT
Abstract
Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung cancer screening while minimizing the radiation dose. However, traditional image reconstruction methods are associated with image noise in low-dose acquisitions. Purpose To compare the image quality and lung nodule detectability of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction-V (ASIR-V) in ULD CT....
Paper Details
Title
Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra–Low-Dose Chest CT
Published Date
Jan 18, 2022
Journal
Volume
303
Issue
1
Pages
202 - 212