Medical Imaging Diffeomorphic Registration based on Machine Learning

Julian Krebs (1, 2) , Hervé Delingette (2) , Nicholas Ayache (2) , Tommaso Mansi (1) , Shun Miao (1)

1 Siemens Healthineers, Digital Services, Digital Technology and Innovation
2 EPIONE - E-Patient : Images, données & mOdèles pour la médeciNe numériquE

For registration of medical images with deep learning, a neural network is designed to include a diffeomorphic layer in the architecture. The network may be trained using supervised or unsupervised approaches. By enforcing the diffeomorphic characteristic in the architecture of the network, the training of the network and application of the learned network may provide for more regularized and realistic registration.

Domaines: Imagerie médicale

Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi, Shun Miao. Medical Imaging Diffeomorphic Registration based on Machine Learning. United States, Patent n° : US 2019/0205766 A1. 2019. ⟨hal-02185900⟩