Friday 26th of April 2024
 

Performance Evaluation of Noise Reduction Algorithm in Magnetic Resonance Images



The objective of this paper is to do the estimation of the noise in the Magnetic Resonance images and evaluate the noise reduction algorithm present in this paper. We propose a method for reduction of Rician noise in MRI. This method shows an optimal estimation result that is more accurate in recovering the true signal from Rician noise. The method proposed specifically for Rician noise reduction, but because Rician noise can be approximated to Gaussian when SNR is high, therefore, we expect the proposed algorithm also has advantage in denoising of complex MR images.

Keywords: Rician noise, Gaussian noise, Magnetic Resonance Images, PSNR ,MAE, MSE, RMSE

Download Full-Text

IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »