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).