Research Article

MRI Breast Skin-line Segmentation and Removal using Integration Method of Level Set Active Contour and Morphological Thinning Algorithms

Ali Qusay Al-Faris, Umi Kalthum Ngah, Nor Ashidi Mat Isa and Ibrahim Lutfi Shuaib

In the MRI breast Computer Aided Detection systems, skin-line segmentation and removal is a vital process. Similar intensity levels of the skin-line and the other parts of the breast image such as; dense tissue and tumor could possibly lead to faulty tumor segmentation if the skin-line is not removed correctly. In this study, a technique for skin-line segmentation and removal is presented. The approach integrates two algorithms. Level Set Active Contour algorithm is used to segment the breast skin border; the Morphological Thinning Algorithm is used to delete the detected breast skin-line. The approach is applied and tested on the RIDER breast MRI dataset and the results are evaluated using six measures. The evaluation results show high performance for the proposed approach with accuracy of 0.9607 for the skin-line segmentation stage and 0.9099 for the removal stage.

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Ali Qusay Al-Faris, Umi Kalthum Ngah, Nor Ashidi Mat Isa and Ibrahim Lutfi Shuaib, 2012. MRI Breast Skin-line Segmentation and Removal using Integration Method of Level Set Active Contour and Morphological Thinning Algorithms. Journal of Medical Sciences, 12: 286-291.

DOI: 10.3923/jms.2012.286.291

URL: https://scialert.net/abstract/?doi=jms.2012.286.291

Journal of Medical Sciences

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Authors

Ali Qusay Al-Faris

Umi Kalthum Ngah

Nor Ashidi Mat Isa

Ibrahim Lutfi Shuaib

Keywords

Research Article

MRI Breast Skin-line Segmentation and Removal using Integration Method of Level Set Active Contour and Morphological Thinning Algorithms

How to cite this article

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