Research Paper | Computer Science & Engineering | Egypt | Volume 5 Issue 1, January 2016
Improvement Skull Stripping Algorithm of MRI Brain Images Based on Fuzzy Morphological Operation
Shaima Abd El-Kader | Mohamed Morse | Mohy Eldin A. Abo-Elsoud | Rasheed Mokhtar 
Abstract: this paper proposes a new method for efficient, simple, and robust removal of skull. It based on nonsensical filter and fuzzy morphological operation which allow maintaining an edge preserving. Its accuracy has been verified against three state-of-the-art skull stripping method BSE (Brain surface extraction), BET (brain extraction tool), Robust Brain Extraction (ROBEX). The proposed method tested on two data set to compare result with another paper. The performance of proposed method has been assessed using the jccard scores, sensitivity and specificity as statistical method. The main advantage of proposed method is robust and speed.
Keywords: Magnetic Resonance, Skull stripping, nonsensical filter, Fuzzy morphological
Edition: Volume 5 Issue 1, January 2016,
Pages: 13 - 17
How to Cite this Article?
Shaima Abd El-Kader, Mohamed Morse, Mohy Eldin A. Abo-Elsoud, Rasheed Mokhtar, "Improvement Skull Stripping Algorithm of MRI Brain Images Based on Fuzzy Morphological Operation", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=NOV152549, Volume 5 Issue 1, January 2016, 13 - 17, #ijsrnet
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