CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT

Abstract

CNN-based deformable lung registration is accurate and fully automated, with runtime feasible for clinical lobar air trapping quantification, and has potential to improve diagnosis of small airway diseases.<b>Keywords:</b> Air Trapping, Convolutional Neural Network, Deformable Registration, Small Airway Disease, CT, Lung, Semisupervised Learning, Unsupervised Learning <i>Supplemental material is available for this article.</i> © RSNA, 2021 <i>An earlier incorrect version of this article appeared online. This article was corrected on December 22, 2021.</i>