查詢結果分析
相關文獻
頁籤選單縮合
題 名 | Segmentation of the Hip Joint in CT Volumes Using Adaptive Thresholding Classification and Normal Direction Correction |
---|---|
作 者 | Zhou, Shengjun; Cheng, Yuanzhi; Wang, Yadong; Dong, Kaikun; Guo, Changyong; Bai, Jing; Tamura, Shinichi; | 書刊名 | Journal of The Chinese Institute of Engineers |
卷 期 | 36:8 2013.12[民102.12] |
頁 次 | 頁1059-1072 |
分類號 | 410.1644 |
關鍵詞 | Boundary refinement; Bone segmentation; Computed tomography; |
語 文 | 英文(English) |
英文摘要 | Segmentation of the pelvis and proximal femur in computed tomography (CT) volumes is prerequisite of patient specific planning and simulation for hip surgery. Existing methods do not perform well due to bone disease and technical limitation of CT imaging. In this paper, an accurate framework for segmenting bone in the hip joint is presented. Our approach begins with valley-emphasized image construction using morphological operations so that valleys stand out in high relief, and then, an initial segmentation with optimal threshold is performed to divide the dataset into bone and non-bone regions. Subsequently, bone regions are reclassified based on 3D iterative adaptive thresholding with consideration of the partial volume effect and the spatial information. Finally, we refine the rough bone boundaries based on the normal direction of vertices of the 3D bone surface. Our segmentation approach is automatic and robust. Its performance is evaluated on 35 datasets consisting of 70 hip joints with a status ranging from healthy to severely osteoarthritis and the results have proved to be very successful. |
本系統中英文摘要資訊取自各篇刊載內容。