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1887

access icon free Noise reduction in magnetic resonance images using adaptive non-local means filtering

© The Institution of Engineering and Technology
Received 19/10/2012, Published

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.

Inspec keywords: image denoising; image restoration; biomedical MRI; adaptive filters; filtering theory; noise abatement; medical image processing

Other keywords: restoration quality; adaptive nonlocal means filtering technique; MR images; noise reduction method; restoration accuracy; magnetic resonance images

Subjects: Optical, image and video signal processing; Filtering methods in signal processing; Biology and medical computing; Biomedical magnetic resonance imaging and spectroscopy; Medical magnetic resonance imaging and spectroscopy; Computer vision and image processing techniques; Patient diagnostic methods and instrumentation

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