用MRI自动提取人脸生物标志物，助力罕见病诊断
BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI
- 从MRI图像全自动重建3D人脸模型
- 通过几何形态学计算定量人脸生物标志物
- 适合医学影像与遗传病研究者使用
面部畸形已成为遗传、精神及罕见病诊断与预后的潜在关键指标。某些情况下畸形明显，但更多时候细微到人眼难以察觉，需精确量化工具识别。人工标注面部畸形工作繁重且存在观察者间差异。为此，我们提出BioFace3D，一个完全自动化的工具，利用从磁共振成像（MRI）重建的面部模型计算面部生物标志物。该工具包含三个自动模块：从MRI中提取3D面部模型、对齐同源3D解剖点以编码面部形态、基于解剖点坐标使用几何形态学技术计算面部生物标志物。
原文摘要 · Abstract (English)
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.
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