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Abstract #3203

Improved Parallelized Blind MR Image Denoising using Asymmetric Weighting coefficients

Satoshi ITO1 and Kazuki YAMATO1
1Utsunomiya university, Utsunomiya, Japan


Parallelized blind image denoising (ParBID) is an improved CNN based denoising method in which weighted average of slice images are denoised using blind denoising CNN followed by image separation. To further improve the denoising performances, weighting coefficients (wc) of slice image averaging was examined. Negative value wc resulted in a significant change in the noise distribution, resulting in a change in the noise distribution and consequently changes the degree of noise reduction. Experimental studies showed that the PSNR was improved compared to the previous method using positive value wc at all noise levels.

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