assignment

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 diagnos...

image quality improvement to widely used in medical images Image improvement is useful for image processing to obtain results that are more in line with the expected image, for use in certain applications that are wrong in the medical field. Quality improvement is needed because it involves the image needed by the object of discussion of poor quality, for example the image increases noise when sending through the transmission line, the image is too bright / dark, the image is not sharp, blurry, and so on. Improve quality, repairs, repairs, noise reduction, and geometry improvements. To make the image brighter or darker, we can change the brightness of the image. Image brightness can be improved by adding (or subtracting) a constant to (or from) each pixel in the image. As a result of this operation, the image histogram shifted. Contrast states the distribution of light (lightness) and darkness (darkness) in an image. Images can be grouped into three contrast categories: low-co...