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 …

Automated surgical planning in spring-assisted sagittal craniosynostosis correction using finite element analysis and machine learning

J Jacob, S Bozkurt - Plos one, 2023 - journals.plos.org
Sagittal synostosis is a condition caused by the fused sagittal suture and results in a
narrowed skull in infants. Spring-assisted cranioplasty is a correction technique used to …

Stochastic PCA-based bone models from inverse transform sampling: proof of concept for mandibles and proximal femurs

G Pascoletti, A Aldieri, M Terzini, P Bhattacharya… - Applied Sciences, 2021 - mdpi.com
Featured Application Patient-specific, 3D CAD model of the mandible and of the proximal
femur can be obtained from a limited set of measurements; these models can be used for …

Paediatric skull growth models: A systematic review of applications to normal skulls and craniosynostoses

M Geoffroy, PM François, RH Khonsari… - Journal of Stomatology …, 2022 - Elsevier
Introduction Craniosynostoses affect 1/2000 births and their incidence is currently
increasing. Without surgery, craniosynostosis can lead to neurological issues due to …

3D Analysis of the Cranial and Facial Shape in Craniosynostosis Patients: A Systematic Review

MSIC Kurniawan, PAE Tio, TA Alim… - Journal of …, 2024 - journals.lww.com
With increasing interest in 3D photogrammetry, diverse methods have been developed for
craniofacial shape analysis in craniosynostosis patients. This review provides an overview …

Principal polynomial shape analysis: A non-linear tool for statistical shape modeling

K Duquesne, N Nauwelaers, P Claes… - Computer Methods and …, 2022 - Elsevier
Background and objectives The most widespread statistical modeling technique is based on
Principal Component Analysis (PCA). Although this approach has several appealing …

The validation of morphometric outcomes and stratification system for nonsyndromic sagittal craniosynostosis following total calvarial remodeling

T Skadorwa, O Wierzbieniec, K Podkowa… - Journal of Cranio …, 2024 - Elsevier
This study aimed to provide an external validation of morphometric outcomes, including
recently developed parameters—vertico-longitudinal index (VLI) and vertex-nasion …

Three-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability

K Nagawa, K Inoue, Y Hara, H Shimizu… - Scientific Reports, 2024 - nature.com
This study performed three-dimensional (3D) magnetic resonance imaging (MRI)-based
statistical shape analysis (SSA) by comparing patellofemoral instability (PFI) and normal …

Fetal face shape analysis from prenatal 3D ultrasound images

R Sivera, AE Clark, A Dall'Asta, T Ghi, S Schievano… - Scientific Reports, 2024 - nature.com
Abstract 3D ultrasound imaging of fetal faces has been predominantly confined to qualitative
assessment. Many genetic conditions evade diagnosis and identification could assist with …

[HTML][HTML] Impact of data synthesis strategies for the classification of craniosynostosis

M Schaufelberger, RP Kühle, A Wachter… - Frontiers in Medical …, 2023 - frontiersin.org
Introduction Photogrammetric surface scans provide a radiation-free option to assess and
classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient …