A 2D Matching Method for Reconstruction of 3D Proximal Femur using X-ray Images

Sonia Akkoul, Adel Hafiane, Rémy Leconge, Eric Lespessailles, Rachid Jennane

2013

Abstract

The femur shape reconstruction from a limited number of 2D X-ray images is a challenging task but it is desired as it lowers both the acquisition costs and the radiation dose. The aim of this paper is to use a small number of 2D X-ray images to reconstruct a 3D proximal femur surface without any prior acknowledge of the shape model. The proposed method combines a 2D binary contour points coordinates and their normals to find the best matching between 2D point pairs. The obtained results are promising. The estimated error shows that it is possible to rebuild the proximal femur shape from a limited number of radiographs.

References

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Paper Citation


in Harvard Style

Akkoul S., Hafiane A., Leconge R., Lespessailles E. and Jennane R. (2013). A 2D Matching Method for Reconstruction of 3D Proximal Femur using X-ray Images . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 353-357. DOI: 10.5220/0004293403530357


in Bibtex Style

@conference{visapp13,
author={Sonia Akkoul and Adel Hafiane and Rémy Leconge and Eric Lespessailles and Rachid Jennane},
title={A 2D Matching Method for Reconstruction of 3D Proximal Femur using X-ray Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={353-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004293403530357},
isbn={978-989-8565-47-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - A 2D Matching Method for Reconstruction of 3D Proximal Femur using X-ray Images
SN - 978-989-8565-47-1
AU - Akkoul S.
AU - Hafiane A.
AU - Leconge R.
AU - Lespessailles E.
AU - Jennane R.
PY - 2013
SP - 353
EP - 357
DO - 10.5220/0004293403530357