corrField

Correspondence fields for large motion image registration. This algorithm is an extended PyTorch (GPU support) implementation of the corrField method described in [1] and was developed as part of the work for [2].

Source code:

• docker (PyTorch, GPU): download
• command line tool (PyTorch, GPU): download
• original code (C++, CPU): download

For further questions or comments please contact us at {hansen,heinrich}@imi.uni-luebeck.de.

[1] Heinrich, Mattias P., Heinz Handels, and Ivor JA Simpson. "Estimating large lung motion in COPD patients by symmetric regularised correspondence fields." International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2015.

[2] Hansen, Lasse, and Mattias P. Heinrich. "GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs." IEEE Transactions on Medical Imaging (2021).