AN EFFICIENT APPROACH FOR MR BRAIN IMAGE MULTILEVEL SEGMENTATION AND PERFORMANCE ANALYSIS

  • S. Sri Devi PG scholar, Communication systems, Rajas International Institute of Technology for Women, Nagercoil, Tamil Nadu, India
  • Abhisha Mano Assistant professor, Department of ECE, Rajas International Institute of Technology for Women, Nagercoil, Tamil Nadu, India
Keywords: Magnetic Resonance Imaging (MRI), segmentation, Spatial Fuzzy C-Means (SFCM), Firefly Optimization (FO), Gray matter (GM), White Matter (WM), Cerebrospinal fluid (CSF)

Abstract

Complex organs can be analysed by using the Magnetic Resonance Image (MRI). This kind of imaging helps the doctors for diagnosis and treatment of neurological diseases. Brain is the complex organ of the human body. It controls the all the organs in our body. Accurate segmentation and analysis of brain tissues such as Gray Matter and White Matter help the doctors for the diagnosing of some complex diseases and neuro surgery. In this paper an efficient method for the segmentation of Gray Matter, White Matter and Cerebrospinal Fluid, Skull regions from MRI brain image using Spatial Fuzzy C-Means was proposed. However, accuracy of this algorithm is not efficient for abnormal brain. To improve the accuracy of segmentation Firefly Optimization algorithm was implemented. Proposed method was implemented using MATLAB 8.6.0.267246 (R2015a) and various parameters were analysed.

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Published
2018-03-31
How to Cite
Devi, S., & Mano, A. (2018). AN EFFICIENT APPROACH FOR MR BRAIN IMAGE MULTILEVEL SEGMENTATION AND PERFORMANCE ANALYSIS . International Journal of Engineering Technologies and Management Research, 5(3), 230-233. https://doi.org/10.29121/ijetmr.v5.i3.2018.195