A Radiation-Free Classification Pipeline for Craniosynostosis Using Statistical Shape Modeling.

ABSTRACT:

Background

Craniosynostosis is a condition caused by the premature fusion of skull sutures, leading to irregular growth patterns of the head. Three-dimensional photogrammetry is a radiation-free alternative to the diagnosis using computed tomography. While statistical shape models have been proposed to quantify head shape, no shape-model-based classification approach has been presented yet.

Methods

We present a classification pipeline that enables an automated diagnosis of three types of craniosynostosis. The pipeline is based on a statistical shape model built from photogrammetric surface scans. We made the model and pathology-specific submodels publicly available, making it the first publicly available craniosynostosis-related head model, as well as the first focusing on i

SUBMITTER: Schaufelberger M 

PROVIDER: S-EPMC9323148 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature