 Bayesian estimation of templates in computational anatomy

Bayesian estimation of templates in computational anatomy is an approach that integrates Bayesian statistical methods with morphometric analysis, specifically in the context of anatomical shapes and structures. In computational anatomy, researchers are interested in understanding the variations in anatomical structures across populations or groups. This is often done through the creation of average models, or "templates," that represent the typical shape or configuration of these anatomical structures.