Title :
Corner Points Detection for Vertebral Mobility Analysis
Author :
Mahmoudi, Saïd ; Benjelloun, Mohammed
Author_Institution :
Fac. of Eng., Comput. Sci. Dept., Fac. Polytech. de Mons, Mons, Belgium
Abstract :
In this paper we introduce a new segmentation approach used to detect the location and the orientation of the cervical vertebrae in medical x-ray images. A first pre-processing step consists on determining a global polygonal region for each vertebra. After this, we propose a new approach of vertebra localization by extracting the anterior faces of vertebra contours. This approach is based on automatic corner points of interest detection using the Harris operator. A specific goal of the proposed application is to create an efficient semi-automated method of identifying the overall angle of curvature of the spine and the angles between vertebrae.
Keywords :
bone; diagnostic radiography; edge detection; image segmentation; medical image processing; Harris operator; cervical vertebrae; corner points detection; global polygonal region; medical x-ray images; segmentation approach; vertebra contour; vertebra localization; vertebral mobility analysis; Biomedical imaging; Deformable models; Face detection; Image segmentation; Medical signal detection; Shape; Spine; X-ray detection; X-ray detectors; X-ray imaging; Corner detection; Regions vertebrae selection; Template Matching; Vertebral Mobility analysis;
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
DOI :
10.1109/ICSPC.2007.4728559