DocumentCode :
3437434
Title :
Mobility Estimation and Analysis in Medical X-ray Images Using Corners and Faces Contours Detection
Author :
Benjelloun, Mohammed ; Mahmoudi, Saïd
Author_Institution :
Fac. of Eng., Dept. of Comput. Sci., Fac. Polytech. de Mons, Mons, Belgium
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
106
Lastpage :
116
Abstract :
This paper describes a new segmentation approach used for detecting the location and the orientation of the cervical spinal column in medical X-ray images. A first preprocessing step consists on determining a global polygonal region for each vertebra. After this, we propose two different methods to calculate vertebrae orientation. The first method is based on the four faces detection of each vertebra contour when the second is essentially based on automatic corners localization. A specific goal of the proposed application is to create an efficient semi-automated method of identifying the overall spine curvature and the orientation angles of each vertebra. The final goal is to determine vertebrae motion induced by their movement between two or several positions.
Keywords :
X-ray imaging; edge detection; face recognition; medical image processing; automatic corner localization; cervical spinal column; corners detection; face detection; faces contours detection; global polygonal region; image segmentation; location detection; medical X-ray images; mobility analysis; mobility estimation; orientation angles; semi-automated method; spine curvature; vertebra contour; vertebrae motion; vertebrae orientation calculation; Active appearance model; Biomedical imaging; Face detection; Image analysis; Image segmentation; Shape; Spine; X-ray detection; X-ray detectors; X-ray imaging; Corners; Detection; Faces Contours Detection.; Motion estimation; Regions vertebrae selection; Template Matching; Vertebral Mobility analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing Conference, 2007. IMVIP 2007. International
Conference_Location :
Kildare
Print_ISBN :
978-0-7695-2887-8
Type :
conf
DOI :
10.1109/IMVIP.2007.26
Filename :
4318144
Link To Document :
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