DocumentCode
2047472
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
fYear
2007
fDate
24-27 Nov. 2007
Firstpage
1275
Lastpage
1278
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSPC.2007.4728559
Filename
4728559
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