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Adaptive SNR filtering technique for Rician noise denoising in MRI
conference contribution
posted on 2023-05-23, 08:19 authored by Aarya, I, Jiang, D, Timothy GaleTimothy GaleMRI images are affected by Rician noise due to the magnitude image formation. Presence of Rician noise can significantly affect the image quality and contrast ratio of an image. In this paper we propose an adaptive filtering technique for Rician noise. Rician noise displays varying distribution characteristic depending on the SNR of the image. Based on the probability distribution function of noise and SNR information obtained from the image, the proposed filter uses local statistics of the neighborhood within the mask to perform denoising. The filter thus performs adaptive denoising based on the regional SNR of the neighborhood. The proposed filtering technique has been implemented on synthetic image and T2 weighted magnitude MRI images. The efficiency of the proposed filtering technique is verified with a study of the PSNR, MSSIM and RMSE characteristic of the denoised and noisy image with respect to the true image. The proposed denoising technique shows an improvement in the contrast ratio and PSNR of the noisy image.
History
Publication title
Proceedings of the 6th Biomedical Engineering International Conference (BMEiCON2013)Editors
C PintaviroojPagination
6687669.23-29ISBN
978-1-4799-1466-1Department/School
School of EngineeringPublisher
IEEEPlace of publication
Krabi, ThailandEvent title
6th Biomedical Engineering International Conference (BMEiCON2013)Event Venue
Krabi, ThailandDate of Event (Start Date)
2013-10-23Date of Event (End Date)
2013-10-25Rights statement
Copyright 2013 IEEERepository Status
- Restricted