Study the Energy Minimization Techniques in Order to Improve the Quality of an Mir Image

This Paper proposed the characterization of atherosclerosis lesions in vivo using Magnetic Resonance Imaging (MRI). For this, it uses an energy minimization approach to equalize the contrast of MR image. To enable the use of voxel gray values for interpretation of disease, we created a new method, energy minimization with a spline model, to correct the severe (80%) intensity in homogeneity that arises from the surface coil array. Intensity in intravascular micro coils induces shading artifacts across the data. Artifacts are modelled as a smooth multiplicative bias field with a cubic spline. The cubic spline is optimized to minimize the entropy of the correct image The entropy based method does not require classification and robustly addresses some problems that are more severe than those found in brain imaging, including noise, steep bias field, sensitivity of artery wall voxels to edge articrafts, and signal voids near the artery wall. All simulations are done in MATLAB.