BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI

TL;DR

BioFace3D is an automated pipeline that extracts and analyzes 3D facial biomarkers from MRI scans, aiding in the diagnosis of disorders with facial dysmorphologies by providing precise, reproducible measurements.

Contribution

It introduces a fully automatic system for reconstructing 3D facial models from MRI and extracting biomarkers, reducing manual effort and variability in dysmorphology assessment.

Findings

Automated extraction of 3D facial models from MRI

Reliable landmark registration for facial morphology

Quantitative biomarkers for diagnostic use

Abstract

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.