Abstract:
MRI machine one of the most significant diagnostic modalities. The only restriction that affects the MRI image is that imaging procedure take very long time comparing with CT scan and other diagnostic modalities, thus old patient, children and the illness people cannot stay without movement inside the magnet therefore artifact will affect the MRI image and several miss analysis may occur especially in the neuroanatomical measurements. Many procedure has been use to solve this problem for example before during and after the MRI image reconstruction. in this study the effectiveness of a new retrospective motion correction technique has been applied and tested. Three different section MRI image ( coronal, sagittal and axial ) were used and given different correction results. That was by develop algorithm to correct the motion blur in the MRI image that corrupted by patient rigid motion. Wiener filter was used as the main restoration procedure by means of angle and length estimation of the motion blur. Motion blur angle and length were estimated using Hough transformer. The technique was applied and tested several time, it gave acceptable correction result in the sagittal image compare with the coronal one but the technique was result in the least motion blur correction in the axial image. Signal to noise ratio was calculated for every image to figure out the degree of the correction technique according to the different estimated angle and length. Signal to noise ratio values were to be through with correction result.
