images on MRI produce images that can have many deficiencies in their image, for example noise, especially in brain images. Even though it uses fast spin echo, it still cannot reduce image deficiencies.

Movement of blood flow, movement of other body organs will affect the results of the image because if there is a lot of movement will make the image become damaged can occur noise, so it requires good cooperation between workers and patients. Because MRI machines do not have their own noise reducers unlike Ct-scans so an examination using MRI needs to calculate the right T1 and T2.

Noise in the image can be reduced by using many methods, but the methods that will be used are also not used randomly. The method used is determined if we know the type of noise. So it is necessary to identify the types of noise in the image. For example salt and pepper, Gaussian, and speckle.

So the better the results of the image will affect the accuracy of the diagnosis so that doctors help diagnose the disease accurately. And can also be helpful for researchers - researchers or scientists develop from the results of these images