A level-set approach to joint image segmentation and registration with application to CT lung imaging

Highlights • A simple novel joint image registration and segmentation method is presented.• The new algorithm is based on a level-set formulation.• The algorithm merges Chan–Vese segmentation with active dense displacement estimation.• Numerical implementation is evaluated on a publicly available lung CT data set.• Improvement of registration and segmentation properties compared with existing methods is shown.