DocumentCode :
1788197
Title :
3D reconstruction method of the proximal femur and shape correction
Author :
Akkoul, Sonia ; Hafiane, Adel ; Leconge, Remy ; Harrar, Khaled ; Lespessailles, Eric ; Jennane, Rachid
Author_Institution :
PRISME, Univ. d´Orleans, Orléans, France
fYear :
2014
fDate :
14-17 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
The aim of this work is to present a 3D reconstruction method of the proximal femur shape using contours identification from pairs of 2D X-ray radiographs without any prior acknowledge. 3D personalized model was reconstructed following a processing chain of seven different steps. After localization of the 2D contours on the images and the matching points of these contours, a 3D contour is generated using an algorithm based on a mathematical model. Thus, with a reduced number of pairs of images, we reconstruct a 3D points cloud, which enables obtaining a closed 3D surface. The accuracy of our approach was evaluated by comparing the reconstruction result with the 3D CT-scan reconstruction of cadaveric proximal femur. The estimated error shows that it is possible to rebuild the proximal femur shape from a limited number of radiographs.
Keywords :
diagnostic radiography; image matching; image reconstruction; medical image processing; 2D X-ray radiograph; 2D contour identification; 2D contour localization; 3D contour image matching; 3D personalized model reconstruction; 3D points cloud reconstruction; proximal femur shape correction; Image reconstruction; Radiography; Shape; Solid modeling; Surface reconstruction; Three-dimensional displays; X-ray imaging; 2D Matching; 3D reconstruction; 3D/3D Rigid Registration; Mesh; Proximal Femur;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2014 4th International Conference on
Conference_Location :
Paris
Print_ISBN :
978-1-4799-6462-8
Type :
conf
DOI :
10.1109/IPTA.2014.7001939
Filename :
7001939
Link To Document :
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