Figure 1.

The complete pipeline for generating an unbiased eye atlas template can be divided into two stages: 1) initial unbiased template generation and 2) hierarchical registration refinement. We leverage the small portion of samples to generate an unbiased template with iterative registration. The average template generated in each iteration is used as the fixed template for the next registration iteration. After the registration loss is converged, we further use the generated template to perform metric-based registration for the remaining samples. As the coarse output is limited to adapt the significant variability of organ structure, a probabilistic refinement network is used to generate large deformation and further aligned the anatomical details across eye organs and head skull.