On the Development of Bone Segmentation and Surface Model Reconstruction from CT Images

• Main Authors: Chung-Yi Huang, 黃仲儀
• Other Authors: Jiing-Yih Lai
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/65569006291697272134

博士 === 國立中央大學 === 機械工程研究所 === 100 === Surface model reconstruction is an extremely important technique in biomedical engineering as it can assist in implant design and preoperative planning of orthopaedics. However, bone model reconstruction is composed of medical image process and computational geometry algorithms, which is complex and difficult to be integrated. Therefore, the objective of this study is to integrate above approaches into a procedure to simplify the operation course and improve overall efficiency of bone model reconstruction. The procedure can be divided into two steps: (1) CT images segmentation: the proposed process is based on iterative regions growing. In which, the seed regions generation algorithm is proposed to automatically generate an initial region on each bone of interest. Finally, the individual bone region will be extracted by seed regions expanded iteratively. (2) Surface model reconstruction: a method for building quadrilateral network of curves automatically from triangular mesh is proposed in this study, which mainly includes mesh simplification, quadrangulation and curve net generation. When curve net is produced, it can be served as the framework of automatic surface reconstruction. Finally, several sets of bone images have been presented to demonstrate the feasibility of this integrated procedure.