Anita Nur Mayani, S.Tr Rad., M.T. Pengarang

Abstract The use of a volume phase array type coil in the brain magnetic resonance imaging (MRI) examination of non-cooperative patients is associated with image noise arising from random electrical fluctuations in the body and causing it to not reflect the true pixel intensity value. Therefore noise reduction is needed in medical image processing. This research to apply denoising weighted bilateral filter and curvelet transform (WBFCT) on T2 weighted turbo spin echo (TSE) brain MRI images in non-cooperative patients. The aim of this research is to determine the differences in information on MRI brain images of T2 TSE sequences in non-cooperative patients between before and after the application of denoising WBFCT. This experimental research was carried out on MRI brain images of T2 TSE sequences in 19 non-cooperative patients. Then proceed with the application of denoising WBFCT on the image. Image assessment using 3 radiologists with data analysis using statistical processing and image post processing. The result shows that information on the brain MRI image of the T2 TSE sequence experienced differences in image information between before and after the application of denoising WBFCT (p-value <0.001), with an average mean square error (MSE) and peak signal-to-noise ratio (PSNR) of 387.995 and 70.5369 dB, where the image after denoising WBFCT had the most optimal image information. Finally, by denoising WBFCT can optimally produce information on MRI brain images of T2 TSE sequences in axial sections in non-cooperative patients. Keywords Denoising · WBFCT · MRI brain · Non-cooperative patients