Skull removal of noisy magnetic resonance brain images using contourlet transform and morphological operations
Efficient segmentation of noisy Magnetic Resonance ( MR) brain images is a challenging task, as pre and post surgery decisions are required to make accurately in achieving better medical practices while treating brain disorders. This paper presents an automatic segmentation technique to remove non brain tissue (skull, fat, skin, muscle) of noisy MR brain images and to extract brain tissue (cortex and cerebellum). Here, Contourlet transform is applied to denoise a noisy MR brain image and threshold based morphological operations are applied to extract brain region on denoised images. Hence a comparative study is developed on skull removed MR brain images with and without denoising based on similarity index and segmentation error. The experimental results prove that the proposed method yields consistent results irrespective of noise levels.
skull removal denoising contourlet transform morphological operations
S.Satheesh R.T.Santosh Kumar K.V.S.V.R Prasad K.Jitender Reddy
Dept. of ECE, G. Narayanamma Institute of Technology and Science, Hyderabad, India Dept. of ECSORC, Infosys Limited, Hyderabad, India Dept. of ECE, D.M.S.S.V.H. College of Engineering, Machilipatnam, India Dept. of Radiology and Imaging Sciences, Apollo Health City, Hyderabad, India
国际会议
哈尔滨
英文
2627-2631
2011-12-24（万方平台首次上网日期，不代表论文的发表时间）