A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL

Mohammed Benjelloun, Saïd Mahmoudi, Fabian Lecron

2010

Abstract

This paper describes a new method for cervical vertebra segmentation in digitized X-ray images. We propose a segmentation approach based on Active Shape Model method whose main advantage is that it uses a statistical model. This model is created by training it with sample images on which the boundaries of the object of interest are annotated by an expert. The specialist knowledge is very useful in this context. This model represents the local statistics around each landmark. Our application allows the manipulation of a vertebra model. The results obtained are very promising.

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Paper Citation


in Harvard Style

Benjelloun M., Mahmoudi S. and Lecron F. (2010). A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session MIAD, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 501-506. DOI: 10.5220/0002765505010506

in Bibtex Style

@conference{special session miad10,
author={Mohammed Benjelloun and Saïd Mahmoudi and Fabian Lecron},
title={A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session MIAD, (BIOSTEC 2010)},
year={2010},
pages={501-506},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002765505010506},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session MIAD, (BIOSTEC 2010)
TI - A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL
SN - 978-989-674-018-4
AU - Benjelloun M.
AU - Mahmoudi S.
AU - Lecron F.
PY - 2010
SP - 501
EP - 506
DO - 10.5220/0002765505010506