LORENTZIAN ESTIMATION FOR RICIAN DE-NOISING IN MRI IMAGES
| Author(s) | : | Vinodh M R |
| Institution | : | Department of Computer Applications, SRM Institute of Science and Technology |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 589-593 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The accuracy of neuro imaging techniques like MRI exclusively depends in the visual analysis of an image.Noise in the MRI is modeled as Rician distribution introduces a signal dependent bias thereby reducing the imagecontrast. In this paper an efficient algorithm is proposed for Rician de-noising using Adaptive Lorentzian estimationfrom the most similar neighborhood pixel extracted using Rank Ordered Absolute Difference Statistic( ROAD)statisticafter noise estimation. The performance of the algorithm is evaluated quantitatively using PSNR and by visual analysis.The results show the efficiency of the algorithm for noise reduction and radiological analysis.
Vinodh M R, “LORENTZIAN ESTIMATION FOR RICIAN DE-NOISING IN MRI IMAGES”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 589-593, February 2018.
