Data-driven cranial suture growth model enables predicting phenotypes of craniosynostosis

Sci Rep. 2023 Nov 23;13(1):20557. doi: 10.1038/s41598-023-47622-7.ABSTRACTWe present the first data-driven pediatric model that explains cranial sutural growth in the pediatric population. We segmented the cranial bones in the neurocranium from the cross-sectional CT images of 2068 normative subjects (age 0-10 years), and we used a 2D manifold-based cranial representation to establish local anatomical correspondences between subjects guided by the location of the cranial sutures. We designed a diffeomorphic spatiotemporal model of cranial bone development as a function of local sutural growth rates, and we inferred its parameters statistically from our cross-sectional dataset. We used the constructed model to predict…
Origen: Data-driven cranial suture growth model enables predicting phenotypes of craniosynostosis – PubMed