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Authors: Sonia Akkoul 1 ; Adel Hafiane 2 ; Rémy Leconge 1 ; Eric Lespessailles 3 and Rachid Jennane 1

Affiliations: 1 Laboratoire PRISME and Université d'Orléans, France ; 2 Laboratoire PRISME and ENSI de Bourges, France ; 3 Institut 3MTO and Hôpital d'Orléans, France

Keyword(s): 3D Reconstruction, Low Dose X-ray Radiograph, Proximal Femur, Matching.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Shape Representation and Matching

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.

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Paper citation in several formats:
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 (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 353-357. DOI: 10.5220/0004293403530357

@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 (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={353-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004293403530357},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - A 2D Matching Method for Reconstruction of 3D Proximal Femur using X-ray Images
SN - 978-989-8565-47-1
IS - 2184-4321
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
PB - SciTePress

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