Fast gradient projection algorithm based Rician noise removal in MR images
by Jayabal Papitha; Damodaran Nedumaran
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 12, No. 4, 2013

Abstract: MR images are vulnerable to Rician distributed noise due to contrast reducing signal dependent bias. This paper presents a combined gradient projection method with Gabor filter technique for removing the Rician noise present in MR images. The proposed method is based on the function of Gradient projection filter to identify the artefact and denoise the image. For demonstrating the performance of the proposed method, the Rician noise is added to the raw MR images and removed using the proposed method. Further, the proposed algorithm was tested on various brain MR images and the performance of the algorithm was studied by estimating the performance metrics and visual inspection, and compared with the existing denoising methods.

Online publication date: Sat, 27-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com