… For intra-subject registration of lung CT images, which is the case we consider in this paper,
SSD is probably the most commonly used similarity measure (Wu et al., 2008, Zheng et al., …

… to the registration of volumetric CT and magnetic resonance images of the brain (18, 19). …
-based consistent image registration algorithm for intersubject lung registration. Branch points …

… the proposed method to pulmonary CT images. However, we consider this a generic method
for supervised deformable image registration of monomodal image. The method can be …

… In this study, a method was developed and evaluated to quantify registration error from lung
CT scans using a fast and lightweight deep learning algorithm. The algorithm was built and …

… In a clinical environment, runtime is always a critical issue, ruling out quite a few excellent
registration approaches. In this paper, a highly efficient variational lung registration method …

… Similarly to the previous Section 2, we consider a source image I S registered on a target
image I T in the domain Ω. The image I S is transformed through the time-dependent …

… interested in registration of the lung volumes only, we cropped the images to cover only the
lung. To avoid boundary effect, a margin of 24 pixels were preserved after image cropping. …

… [11] combined intensity, curves, and surfaces to register lung CT images. These methods
were hybrid techniques that combined feature-based and intensity-based methods. Recently, …

… applicable for the registration of thoracic CT images. The pre-registration introduced in
section 2.1 emerged to be essential for the success of the diffeomorphic registration. This has …

… , and the transferability of our registration approach. We show … registration method with
much shorter execution time. In our experiments on the DIRLab exhale to inhale lung registration, …