Title: A new method for three-dimensional magnetic resonance images denoising

Authors: Feriel Romdhane; Faouzi Benzarti; Hamid Amiri

Addresses: Campus Universitaire, B.P. 37, 1002 Tunis, Belvédère, Tunisia ' Campus Universitaire, B.P. 37, 1002 Tunis, Belvédère, Tunisia ' Campus Universitaire, B.P. 37, 1002 Tunis, Belvédère, Tunisia

Abstract: Removing noise in magnetic resonance images (MRI) is a crucial issue in the field of medical image processing. These images are infected by Rician noise which is a non-additive noise, allows to reduce the image contrast and causes random fluctuations. Our paper proposed a new method for 3D MRI denoising based on new combination between non-local means filter and the diffusion tensor with adaptative MAD estimator Rician noise. The performance of our proposed algorithm was evaluated with respect to different quantitative measures, compared to other denoising methods which illustrate that our proposed denoising algorithm efficiently removes noise and preserves more details.

Keywords: 3D MRI; 3D denoising method; non-local mean filter; diffusion tensor; Rician noise.

DOI: 10.1504/IJCVR.2018.090012

International Journal of Computational Vision and Robotics, 2018 Vol.8 No.1, pp.1 - 17

Received: 16 Jun 2015
Accepted: 30 Dec 2015

Published online: 01 Nov 2017 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article