Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from
personalized neuromusculoskeletal models. Applications include refined diagnostics …

Background: Craniosynostosis is a condition caused by the premature fusion of skull
sutures, leading to irregular growth patterns of the head. Three-dimensional …

Statistical shape modeling (SSM) is widely used in biology and medicine as a new
generation of morphometric approaches for the quantitative analysis of anatomical shapes …

The aim of this study is, firstly, to create a population-based 3D head shape model for the 0
to 2-year-old subjects to describe head shape variability within a normal population and …

Introduction Craniosynostoses affect 1/2000 births and their incidence is currently
increasing. Without surgery, craniosynostosis can lead to neurological issues due to …

Limited information is available on the effect of sagittal craniosynostosis (CS) on
morphological and material properties of the parietal bone. Understanding these properties …

Automatic anatomical segmentation and landmark localization in medical images are
important tasks during craniofacial analysis. While deep neural networks have been recently …

Introduction Photogrammetric surface scans provide a radiation-free option to assess and
classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient …

One of the main limitations in subject-centred design approach is represented by getting 3D
models of the region of interest. Indeed, 3D reconstruction from imaging data (ie, computed …

Statistical shape modeling (SSM) has proven useful in many areas of biology and medicine
as a new generation of morphometric approaches for the quantitative analysis of anatomical …