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http://dx.doi.org/10.3745/KTSDE.2014.3.8.329

Automatic Segmentation of Trabecular Bone Based on Sphere Fitting for Micro-CT Bone Analysis  

Kang, Sun Kyung (원광대학교 LINC사업단)
Kim, Young Un (원광보건대학교, (주)좋은정보기술)
Jung, Sung Tae (원광대학교 컴퓨터공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.3, no.8, 2014 , pp. 329-334 More about this Journal
Abstract
In this study, a new method that automatically segments trabecular bone for its morphological analysis using micro-computed tomography imaging was proposed. In the proposed method, the bone region was extracted using a threshold value, and the outer boundary of the bone was detected. The sphere of maximum size with the corresponding voxel as the center was obtained by applying the sphere-fitting method to each voxel of the bone region. If this sphere includes the outer boundary of the bone, the voxels included in the sphere are classified as cortical bone; otherwise, they are classified as trabecular bone. The proposed method was applied to images of the distal femurs of 15 mice, and comparative experiments, with results manually divided by a person, were performed. Four morphological parameters-BV/TV, Tb.Th, Tb.Sp, and Tb.N-for the segmented trabecular bone were measured. The results were compared by regression analysis and the Bland-Altman method; BV/TV, Tb.Th, Tb.Sp, and Tb.N were all in the credible range. In addition, not only can the sphere-fitting method be simply implemented, but trabecular bone can also be divided precisely by using the three-dimensional information.
Keywords
Micro-Computed Tomography; Segmentation; Sphere Fitting; Trabecular Bone; Structural Parameters;
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