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

J Liu, JH Froelicher, B French, MG Linguraru… - Scientific reports, 2023 - nature.com
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 …

Quantifying dysmorphologies of the neurocranium using artificial neural networks

T Abdel‐Alim, F Tapia Chaca, IMJ Mathijssen… - Journal of …, 2024 - Wiley Online Library
Background Craniosynostosis, a congenital condition characterized by the premature fusion
of cranial sutures, necessitates objective methods for evaluating cranial morphology to …

Cranial growth in isolated sagittal craniosynostosis compared with normal growth in the first 6 months of age

E Mercan, RA Hopper, AM Maga - Journal of anatomy, 2020 - Wiley Online Library
Sagittal craniosynostosis (SCS), the most common type of premature perinatal cranial suture
fusion, results in abnormal head shape that requires extensive surgery to correct. It is …

Hybrid simulation of brain–skull growth

J Jin, S Shahbazi, J Lloyd, S Fels… - …, 2014 - journals.sagepub.com
This paper describes a hybrid model that includes both a standard finite element model and
also volume-preserving structural modeling for a clinical application involving skull …

Predictive statistical model of early cranial development

AR Porras, RF Keating, JS Lee… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: We present a data-driven method to build a spatiotemporal statistical shape
model predictive of normal cranial growth from birth to the age of 2 years. Methods: The …

Data-driven normative reference of pediatric cranial bone development

J Liu, C Elkhill, S LeBeau, B French… - … Surgery–Global Open, 2022 - journals.lww.com
Background: Available normative references of cranial bone development and suture fusion
are incomplete or based on simplified assumptions due to the lack of large datasets. We …

[PDF][PDF] Automated analysis and predictive modeling of craniosynostosis with cranial suture measurements and intracranial volume asymmetries using the snake …

M Walker, CD Hermann, JK Williams… - J Biomed Eng …, 2016 - researchgate.net
Quantifying the progression of a condition is one the most difficult challenges facing
physicians as they look to provide the most effective treatment customized for individual …

A computational framework to predict calvarial growth: optimising management of sagittal craniosynostosis

C Cross, RH Khonsari, G Patermoster… - … in Bioengineering and …, 2022 - frontiersin.org
The neonate skull consists of several bony plates, connected by fibrous soft tissue called
sutures. Premature fusion of sutures is a medical condition known as craniosynostosis …

A radiation-free classification pipeline for craniosynostosis using statistical shape modeling

M Schaufelberger, R Kühle, A Wachter, F Weichel… - Diagnostics, 2022 - mdpi.com
Background: Craniosynostosis is a condition caused by the premature fusion of skull
sutures, leading to irregular growth patterns of the head. Three-dimensional …

Characterizing and modeling bone formation during mouse calvarial development

A Marghoub, J Libby, C Babbs, Y Ventikos, MJ Fagan… - Physical review …, 2019 - APS
The newborn mammalian cranial vault consists of five flat bones that are joined together
along their edges by soft fibrous tissues called sutures. Early fusion of these sutures leads to …