Rigid registration for 3D MRI
[comment]:
The code is currently in development.
Rotate 3D image: /ext/image
A 3D-UNet featured with unsampling and dowsampling layer is used to learn the shift flow between two different images.
CNN outputs three 3D flows.
A 3D-spatial transformer, which is similar to the standard STN is utilized to do the registration task.
Trying to solve an optimization problem, which will get an affine transform matrix for spatial transformer to do the registration.
Based on medical image processing library Voxelmorph
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu
MICCAI 2018. eprint arXiv:1805.04605
An Unsupervised Learning Model for Deformable Medical Image Registration
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca
CVPR 2018. eprint arXiv:1802.02604