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

We 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Jiawei, Froelicher, Joseph H., French, Brooke, Linguraru, Marius George, Porras, Antonio R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667230/
https://www.ncbi.nlm.nih.gov/pubmed/37996454
http://dx.doi.org/10.1038/s41598-023-47622-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667230/
https://www.ncbi.nlm.nih.gov/pubmed/37996454
http://dx.doi.org/10.1038/s41598-023-47622-7

Ejemplares similares