An Improved Region Growing Segmentation Approach for Brain MRI

Abstract: This work proposes the characterization of improved region growing level set segmentation using Magnetic Resonance Imaging for brain & heart images. For this, it uses an optimization approach to equalize the contrast of MR image. To enable the use of voxel gray values for interpretation of disease, it provides a new method, energy minimization with a spline model, to correct the severe intensity in homogeneity that arises from the surface coil array. A level set segmentation method is used that provides proper segmentation of tissues in MR image. The important parameter is entropy which is minimized by changing the knots.All simulations are done in MATLAB.

Keywords: MR images, Region Growing Segmentation, Image Processing, Spline Method etc