Intensity Inhomogeneity Correction Scheme for 3d-Dimensional Mri Brain Scans using Histogram Matching

There has been an explosive growth in medical imaging industry with rapid development in imaging techniques. Magnetic resonance imaging (MRI) has increasingly been popular as a result of its significant role in examining the ever-changing activity of human brain. The image and resolution produced by MRI is quite detailed and can detect tiny changes of structures within the brain and human body at large. It has become the leading technology for examining the living brain at work. More importantly, it plays an extremely important role in diagnosing patient with Alzheimer’s disease in its early stage. In fact, this will dramatically assist in analyzing the brain scan images and identifying whether if there is any potential risk for developing Alzheimer’s disease. Quantifying the brain for Alzheimer’s patient on regular basis is very important so that to critically analyze and assess the rate at which the disease affect patient brain. However, the quality of the MRI scans can radically change due to environmental and atmospheric changes, and equipment ageing. Subsequently, this has a profound impact on the precision and accuracy of the measurement of the brain. In this paper, we proposes an approach which eliminates the in homogeneity problem anticipated so that 3D brain MRI scans can be efficiently processed and analyze