A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

Image registration is the process of aligning two or more images. It is a well-established technique in (semi-)automatic medical image analysis that is used to transfer information between images. Commonly used image registration approaches include intensity-based methods, and feature-based methods that use handcrafted image features (Sotiras et  al., 2013; Viergever et al., 2016). Since recently, supervised and unsupervised deep learning techniques have been successfully employed for image registration (Jaderberg et al., 2015; Wu et al., 2016; Miao et al., 2016; Liao et al., 2017; Krebs et al., 2017; Cao et al., 2017; Sokooti et a l., 2017; Yang et al., 2017; de Vos et al., 2017; Eppenhof et al., 2018).

Source: Medical Image Analysis - December 8, 2018 Category: Radiology Authors: Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana I šgum Source Type: research