A NEW IMAGING ARTEFACT REMOVAL FROM MRI OF BRAIN IMAGE

Abstract

MRI brain images are extensively utilised in medical applications for research, diagnosis, therapy, surgical planning and image guided procedures. These MR brain pictures are commonly damaged with numerous imaging aberrations and may impact the efficiency of brain image processing algorithms. In this article, we listed and identified the sources of the prevalent imaging artefacts in MR brain pictures. Many distinct artefacts may arise during magnetic resonance imaging(MRI), some lowering the diagnostic quality, while others may be misinterpreted with disease. Thus to identify any abnormalities in brain like tumour, edoema artefact must be eradicated else it will considered as an anomaly in automated system or may obstruct the intelligence system. This research provided an approach to eliminate the artefacts from MRI of brain. The suggested technique is extremely easy with the combination of statistics and computational geometric approach. Statistical approaches like standard deviation are utilised to establish the global threshold to binarize the image and computational geometry like convex hull is used to generate final output (MRI without artefact) (MRI without artefact).