UTERINE FIBROID SEGMENTATION ON MRI BASED ON CHAN-VESE LEVEL SET METHOD AND SHAPE PRIOR MODEL

Alireza Fallahi, Mohammad Pooyan, Hassan Hashemi, Hassan Khotanlou, Mohammad Ali Oghabian, Kavous Firuznia

2010

Abstract

Uterine fibroid the most common benign tumor of the female pelvic affected 20%- 50% of the women in the world. The efficacy of medical treatment is gauged by shrinkage of the size of these tumors after surgery. Complex fibroids anatomy, nonhomogeneity region and missing boundary in some cases are a challenging task in the segmentation. In this paper, we present a method to robustly segment these fibroids on MRI and measure the volume. Our method is based on combination of two step Chan-Vese level set method and geometric shape prior model. With calculating an initial region inside the fibroid using Chan-Vese level sets method, rough segmentation obtained followed by a prior shape model. We found the algorithm efficient and that it has some good results.

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Paper Citation


in Harvard Style

Fallahi A., Pooyan M., Hashemi H., Khotanlou H., Ali Oghabian M. and Firuznia K. (2010). UTERINE FIBROID SEGMENTATION ON MRI BASED ON CHAN-VESE LEVEL SET METHOD AND SHAPE PRIOR MODEL . In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2010) ISBN 978-989-674-027-6, pages 51-55. DOI: 10.5220/0002831100510055


in Bibtex Style

@conference{imagapp10,
author={Alireza Fallahi and Mohammad Pooyan and Hassan Hashemi and Hassan Khotanlou and Mohammad Ali Oghabian and Kavous Firuznia},
title={UTERINE FIBROID SEGMENTATION ON MRI BASED ON CHAN-VESE LEVEL SET METHOD AND SHAPE PRIOR MODEL},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2010)},
year={2010},
pages={51-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002831100510055},
isbn={978-989-674-027-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2010)
TI - UTERINE FIBROID SEGMENTATION ON MRI BASED ON CHAN-VESE LEVEL SET METHOD AND SHAPE PRIOR MODEL
SN - 978-989-674-027-6
AU - Fallahi A.
AU - Pooyan M.
AU - Hashemi H.
AU - Khotanlou H.
AU - Ali Oghabian M.
AU - Firuznia K.
PY - 2010
SP - 51
EP - 55
DO - 10.5220/0002831100510055