Title :
Vertebra Edge Detection Using Polar Signature
Author :
Benjelloun, M. ; Tellez, H. ; Mahmoudi, S.
Author_Institution :
Dept. of Comput. Sci., Faculte Polytechnique de Mons
Abstract :
In this paper we propose a new method of vertebrae segmentation in medical images. X-ray images of the spinal columns are analysed in order to extract a closed contour for each vertebra. To achieve this goal, we proceed by steps: the starting one is a segmentation approach based on the selection of each vertebra region. We use these regions information to identify each individual vertebra by its contour. For this task, we propose a polar signature representation of the contour using the image gradient of each region. Lastly, an edge closing method exploiting polynomial fitting is used. We use the resulting extracted contours to determine vertebral mobility. For this, we proceed by the extraction of some parameters characterizing each vertebra, related to their form, position and orientation
Keywords :
X-ray imaging; bone; computational complexity; edge detection; feature extraction; image segmentation; medical image processing; X-ray images; contour extraction; edge closing method; image gradient; medical images; polar signature representation; polynomial fitting; spinal columns; vertebra edge detection; vertebrae image segmentation; Biomedical engineering; Biomedical imaging; Computer science; Data mining; Image edge detection; Image segmentation; Polynomials; Shape; Spine; X-ray imaging;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.1167