Noise reduction in magnetic resonance images using adaptive non‐local means filtering. Issue 5 (1st February 2013)

• Record Type: Journal Article
• Authors: Kang, B.; Choi, O.; Kim, J.D.; Hwang, D.
• Is Part Of: Electronics letters. Volume 49:Issue 5(2013)
• Page Start: 324
• Page End: 326
• Publication Date: 2013-02-01
• Subjects: adaptive filters -- biomedical MRI -- filtering theory -- image denoising -- image restoration -- medical image processing -- noise abatement; restoration quality -- restoration accuracy -- MR images -- adaptive nonlocal means filtering technique -- noise reduction method -- magnetic resonance images; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2012.3602
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Proposed is a noise reduction method for magnetic resonance (MR) images. This method can be considered a new adaptive non‐local means filtering technique since different weights based on the edgeness of an image are applied. Unlike conventional noise reduction methods, which typically fail in preserving detailed information, the proposed method preserves fine structures while significantly reducing noise in MR images. For comparing the proposed method with other noise reduction methods, both a simulated ground truth data set and real MR images were used. The experiment shows that the proposed method outperforms conventional methods in terms of both restoration accuracy and quality.