PDF(Pubmed)
Abstract：
The paranasal sinuses, a bilaterally symmetrical system of eight air-filled cavities, represent one of the most complex parts of the equine body. This study aimed to extract morphometric measures from computed tomography (CT) images of the equine head and to implement a clustering analysis for the computer-aided identification of age-related variations. Heads of 18 cadaver horses, aged 2-25 years, were CT-imaged and segmented to extract their volume, surface area, and relative density from the frontal sinus (FS), dorsal conchal sinus (DCS), ventral conchal sinus (VCS), rostral maxillary sinus (RMS), caudal maxillary sinus (CMS), sphenoid sinus (SS), palatine sinus (PS), and middle conchal sinus (MCS). Data were grouped into young, middle-aged, and old horse groups and clustered using the K-means clustering algorithm. Morphometric measurements varied according to the sinus position and age of the horses but not the body side. The volume and surface area of the VCS, RMS, and CMS increased with the age of the horses. With accuracy values of 0.72 for RMS, 0.67 for CMS, and 0.31 for VCS, the possibility of the age-related clustering of CT-based 3D images of equine paranasal sinuses was confirmed for RMS and CMS but disproved for VCS.
摘要：
鼻旁窦,由八个充满空气的空腔组成的两侧对称系统，代表马身体最复杂的部分之一。这项研究旨在从马头的计算机断层扫描（CT）图像中提取形态测量，并实施聚类分析，以计算机辅助识别与年龄相关的变化。18匹尸体马的头，2-25岁,被CT成像和分割以提取它们的体积，表面积,额窦（FS）的相对密度，背甲窦(DCS),腹侧耳廓窦(VCS),鼻端上颌窦(RMS),上颌窦(CMS),蝶窦(SS),腭窦(PS),和中耳窦（MCS）。数据分为年轻，中年,和老马群，并使用K-means聚类算法进行聚类。形态测量根据马匹的鼻窦位置和年龄而变化，而不是身体侧。VCS的体积和表面积，RMS,CMS随着马龄的增加而增加。RMS的精度值为0.72，CMS为0.67，VCS为0.31，RMS和CMS证实了基于CT的马鼻旁窦3D图像的年龄相关聚类的可能性,但VCS证明了这一可能性.
