Department of Medical Education and Biomedical Informatics, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195-7240, USA.
J Digit Imaging. 2012 Jun;25(3):400-8. doi: 10.1007/s10278-011-9430-x.
3D imaging systems are used to construct high-resolution meshes of patient's heads that can be analyzed by computer algorithms. Our work starts with such 3D head meshes and produces both global and local descriptors of 3D shape. Since these descriptors are numeric feature vectors, they can be used in both classification and quantification of various different abnormalities. In this paper, we define these descriptors, describe our methodology for constructing them from 3D head meshes, and show through a set of classification experiments involving cases and controls for a genetic disorder called 22q11.2 deletion syndrome that they are suitable for use in craniofacial research studies. The main contributions of this work include: automatic generation of novel global and local data representations, robust automatic placement of anthropometric landmarks, generation of local descriptors for nasal and oral facial features from landmarks, use of local descriptors for predicting various local facial features, and use of global features for 22q11.2DS classification, showing their potential use as descriptors in craniofacial research.
3D 成像系统用于构建患者头部的高分辨率网格，这些网格可以通过计算机算法进行分析。我们的工作从这些 3D 头部网格开始，生成 3D 形状的全局和局部描述符。由于这些描述符是数字特征向量，因此它们可用于各种不同异常的分类和量化。在本文中，我们定义了这些描述符，描述了从 3D 头部网格构建它们的方法，并通过一组涉及称为 22q11.2 缺失综合征的遗传疾病的病例和对照的分类实验表明，它们适用于颅面研究。这项工作的主要贡献包括：自动生成新的全局和局部数据表示，稳健的自动放置人体测量标志，从标志生成鼻和口腔面部特征的局部描述符，使用局部描述符预测各种局部面部特征，以及使用全局特征进行 22q11.2DS 分类，展示了它们作为颅面研究描述符的潜在用途。
