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Authors: Si Yong Yeo ; Xianghua Xie ; Perumal Nithiarasu and Igor Sazanov

Affiliation: Swansea University, United Kingdom

Keyword(s): Vessel segmentation, Geometric potential force, Deformable model, Image segmentation, Level set methods.

Abstract: We present a method for the reconstruction of vascular geometries from medical images. Image denoising is performed using vessel enhancing diffusion, which can smooth out image noise and enhance vessel structures. The Canny edge detection technique which produces object edges with single pixel width is used for accurate detection of the lumen boundaries. The image gradients are then used to compute the geometric potential field which gives a global representation of the geometric configuration. The deformable model uses a regional constraint to suppress calcified regions for accurate segmentation of the vessel geometries. The proposed framework show high accuracy when applied to the segmentation of the carotid arteries from CT images.

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Paper citation in several formats:
Yeo, S.; Xie, X.; Nithiarasu, P. and Sazanov, I. (2012). SEGMENTATION OF VESSEL GEOMETRIES FROM MEDICAL IMAGES USING GPF DEFORMABLE MODEL. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: SADM, (ICPRAM 2012) ISBN 978-989-8425-98-0; ISSN 2184-4313, pages 323-332. DOI: 10.5220/0003849303230332

@conference{sadm12,
author={Si Yong Yeo. and Xianghua Xie. and Perumal Nithiarasu. and Igor Sazanov.},
title={SEGMENTATION OF VESSEL GEOMETRIES FROM MEDICAL IMAGES USING GPF DEFORMABLE MODEL},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: SADM, (ICPRAM 2012)},
year={2012},
pages={323-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003849303230332},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: SADM, (ICPRAM 2012)
TI - SEGMENTATION OF VESSEL GEOMETRIES FROM MEDICAL IMAGES USING GPF DEFORMABLE MODEL
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Yeo, S.
AU - Xie, X.
AU - Nithiarasu, P.
AU - Sazanov, I.
PY - 2012
SP - 323
EP - 332
DO - 10.5220/0003849303230332