| Summary: | 碩士 === 國立陽明大學 === 生物醫學影像暨放射科學系暨研究所 === 97 === In the last decade, bone mineral density (BMD) is the major parameter to determine bone mechanical competence. However, many recent observations indicate that bone strength is only partially reflected by bone density (76% of the variability in strength). Another parameter is the morphology structure of trabecular bone. Combination of bone density with morphology structure can describe 90% of the variability in strength. Therefore, in order to acquire the morphometric parameters of trabecular bone structure of small animals, we used micro-computed tomography (micro-CT) to obtain trabecular bone images. The structure of trabecular bone can be estimated quantitatively by morphological and topological analyses. There are four steps to analyze trabecular bone structure: 1) Obtain the bone images from our home-made micro-CT system; 2) choose the proper Otsu’s threshold to segment the original images into binary images; 3) auto-segment the regions of trabecular bone areas from the binary images; 4) analyze the trabecular bone images to calculate percent bone volume, bone specific surface, bone surface density, trabecular thickness, trabecular number, and trabecular separation of the trabecular bone structure and use box-counting method (BCM) to obtain the corresponding fractal dimension (FD). Moreover, we simulated some digital phantoms to verify the analysis methods. We can obtain the morphometric parameters of trabecular bone structure from binary image. We can provide accurate and efficient trabecular bone structure parameters. These parameters play an important role in fracture risk estimation, osteoporosis and other bone diseases diagnosis for the aging people.
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