The purpose of this study was to confirm the utility of the median modified Weiner filter (MMWF) noise reduction
algorithm in T2-weighted brain MR images. We acquired brain MR images using both real experiment
and simulation, and performed comparative evaluation with conventional noise reduction algorithms through
calculation of factors for the noise level and similarity. As a result, evaluation of the noise level and similarity
showed the most improved in the image, which the MMWF noise reduction algorithm was applied. Moreover,
additional experiment was conducted using real MR device and water phantom to more clearly prove the efficiency
of the MMWF noise reduction algorithm. The noise level and intensity profile results derived from the
real T2-weighted MR image proved the effectiveness of the MMWF noise reduction algorithm. In conclusion,
the proposed MMWF noise reduction algorithm demonstrated a very promising performance for improving
the image quality in T2-weighted MR image.