BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI
Facial dysmorphologies have emerged as potential critical indicators in the diagnosis and prognosis of genetic, psychotic and rare disorders. While in certain conditions these dysmorphologies are severe, in other cases may be subtle and not perceivable to the human eye, requiring precise quantitativ...
Gespeichert in:
Hauptverfasser: | , , , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Facial dysmorphologies have emerged as potential critical indicators in the
diagnosis and prognosis of genetic, psychotic and rare disorders. While in
certain conditions these dysmorphologies are severe, in other cases may be
subtle and not perceivable to the human eye, requiring precise quantitative
tools for their identification. Manual coding of facial dysmorphologies is a
burdensome task and is subject to inter- and intra-observer variability. To
overcome this gap, we present BioFace3D as a fully automatic tool for the
calculation of facial biomarkers using facial models reconstructed from
magnetic resonance images. The tool is divided into three automatic modules for
the extraction of 3D facial models from magnetic resonance images, the
registration of homologous 3D landmarks encoding facial morphology, and the
calculation of facial biomarkers from anatomical landmarks coordinates using
geometric morphometrics techniques. |
---|---|
DOI: | 10.48550/arxiv.2410.00711 |