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

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

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 propose...

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Bibliographic Details
Main Authors: Matthias Schaufelberger, Reinald Kühle, Andreas Wachter, Frederic Weichel, Niclas Hagen, Friedemann Ringwald, Urs Eisenmann, Jürgen Hoffmann, Michael Engel, Christian Freudlsperger, Werner Nahm
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Diagnostics
Subjects:
classification
craniosynostosis
statistical shape model
template morphing
machine learning
stereophotogrammetry
Online Access:https://www.mdpi.com/2075-4418/12/7/1516

Internet

https://www.mdpi.com/2075-4418/12/7/1516

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