期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：4
出版社：SERSC
摘要：Medical image segmentation has important significance for thickness estimation of the articular cartilage and joint disease diagnosis. In this study, a novel automatic segmentation method based on Hough transform and edge detection was proposed to divide femoral cartilage in human hip joint from MR images. MR image was interpolated, smoothed and enhanced in preprocessing to improve the image quality. Hough transform was employed to find out the center position of the femoral head and the anatomical constrain of the hip joint was considered to estimate the area of interest (AOI). Furthermore, the rough segmentation range was extracted. To figure out the border of the cartilage, the adaptive thresholding Canny detector was exerted. The detected edges were then labeled and filtered in a custom one by one manner to remove the noise edges and acquire the exact inner and outer edges of the femoral cartilage, according to the properties of the pixel on femoral cartilage edge. Image data between the two edges were finally extracted to achieve the femoral cartilage segmentation. Experiment on 120 MR image slices proved that the method can automatically segment the femoral cartilage fast and accurately.
