Application of 3D morphometrics to the assessment of typical and disordered craniofacial growth

传统上，评估头部和面部的生长依赖于测量患者、照片或x射线上地标之间的距离和角度变化。这不仅慢，而且也不是很准确。该项目将自动识别3D图像上的这些地标，并量化头部和面部的正常生长。由此，我们可以开发出量化异常生长的方法，并利用这些方法来了解手术干预对儿童的影响。

Traditionally, assessing the growth of the head and face has relied on measuring changes in distances and angles between landmarks on either patients, photographs or x-rays. This is not only slow but also not very accurate. This project will automate the identification of these landmarks on 3D images and quantify normal growth of the head and face. From this we can develop methods of quantifying abnormal growth and use these to understand the impact of surgical interventions on children.