Articular Cartilage Segmentation Based on Radial Transformation
Osteoarthritis(OA) is one of the major causes of disability in the elderly population. The accurate segmentation of the articular knee cartilages from MR images is important to clinical diagnosis and treatment. In this paper, a semiautomatic segmentation method of knee cartilage based on radial transformation is proposed. A radial transformation is the process of generating a new image, called a radial image, by re-sampling the original image in a radial approach. The cartilage boundary is initially delineated on the radial image, and then transformed back to the original image. Due to the possible round-off errors and digitization effects, the cartilage boundary on the original image requires a slight deformation to become more accurate and complete. In general, the cartilage segmentation has been considered as a two- dimensional image processing challenge. However, the proposed method turns such a challenge into a onedimensional job by incorporating the prior knowledge of cartilage anatomy into the radial transformation, and thus simplifies the segmentation problem.
articular cartilage image segmentation radial transformation osteoarthritis
Ku-Yaw Chang Shao-Jer Chen Lih-Shyang Chen Cheng-Jung Wu
Department of Computer Science and Information Engineering, Da-Yeh University, Changhua, Taiwan, R.O Department of Radiology, Buddhist Dalin Tzu Chi General Hospital, Chiayi, Taiwan, R.O.C. School of M Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan, R.O.C.
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-4
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）