Deep-Learning-Based CT Lung Registration

This deep-learning-based lung registration developed in [1] uses multiple anatomical constraints to supervise the training. For preprocessing, the lung mask of the inspiration and expiration scan are required. The algorithms will crop the input images to the lung regions and outputs:

cropped fixed image
warped moving image
displacement field in mm

For further questions or comments please contact us at alessa.hering@mevis.fraunhofer.de

[1] Hering, A., H├Ąger, S., Moltz, J., Lessmann, N., Heldmann, S., & van Ginneken, B. (2021). CNN-based Lung CT Registration with Multiple Anatomical Constraints. Medical Image Analysis, 102139.