通过统计形状分析评估年轻健康受试者的面部不对称性。
Facial asymmetry in young healthy subjects evaluated by statistical shape analysis.
作者信息
Ercan Ilker, Ozdemir Senem Turan, Etoz Abdullah, Sigirli Deniz, Tubbs R Shane, Loukas Marios, Guney Ibrahim
机构信息
Department of Biostatistics, Faculty of Medicine, Uludag University, Bursa, Turkey.
出版信息
J Anat. 2008 Dec;213(6):663-9. doi: 10.1111/j.1469-7580.2008.01002.x.
Abstract
Statistical shape analysis, a relatively a new method for biological research, compares body forms by using specific landmarks determined by anatomical prominences. In this study, we aimed to identify normal facial asymmetry between the right and the left sides of the face. Facial landmark data were collected from two-dimensional digital images of 321 young healthy subjects (150 males and 171 females). These data were analysed using Euclidean distance matrix analysis. The number of significantly asymmetric linear distances between the two halves of the face was greater in females than in males. We found that the left side of the face was most commonly dominant in both males and females. Such data may be useful in establishing a database for future similar studies.
摘要
统计形状分析是一种相对较新的生物学研究方法，它通过使用由解剖学突出部位确定的特定地标来比较身体形态。在本研究中，我们旨在确定面部左右两侧的正常不对称情况。从321名年轻健康受试者（150名男性和171名女性）的二维数字图像中收集面部地标数据。使用欧几里得距离矩阵分析对这些数据进行分析。女性面部两半之间显著不对称的线性距离数量多于男性。我们发现，男性和女性中最常见的情况都是面部左侧占优势。这些数据可能有助于建立一个数据库，以供未来的类似研究使用。
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