Research Article
Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations
Algorithm 3
Two-layer unsupervised deep adaptive registration framework.
Classifier Training: Eight-layer CNNs trains different levels of rotation and deformation images | Registration: | Input: Images , and initial velocity field | Output: Transformation from to | Repeat | Pre-registration: For 2D image, through CNNs classifier to rectify rotation then scale and transformation; | For 3D image, triplanar 2D CNNs to pre-registrate | Demons registration: | (i) Find updates mapping to | (ii) Smooth updates: | (iii) Update velocity field: | (approximated with ) | (iv) Smooth velocity field: | (v) Use PCA to extract features and calculate new similarity metric as PCA-SSD, PCA-pearson, | PCA-spearman, and kendall. | until convergence |
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