Cross gender–age trabecular texture analysis in cone beam CT

Haibin Ling, Xiong Yang, Peiyi Li, Vasileios Megalooikonomou, Yong Xu, Jie Yang

Abstract:

Objectives:
To investigate whether multiple texture features in different regions of interest (ROIs) on cone beam CT (CBCT) are correlated with gender–age variation of trabecular patterns.
Methods:
CBCT volumes from 96 subjects were used. The data set was divided into four gender–age subgroups, including males younger than 40 years, males older than 40 years, females younger than 40 years and females older than 40 years. For each volume, cubes containing trabecular patterns at four ROIs in the jaws were manually cropped. 18 distinct texture features were calculated and their correlation with gender–age variations at different ROIs was studied through t-test statistical analysis.