Brain MR image denoising for Rician noise using pre-smooth non-local means filter

	Brain MR image denoising for Rician noise using pre-smooth non-local means filter
	Yang, Jian; Fan Jingfan; Ai Danni; Zhou Shoujun; Tang Songyuan; Wang Yongtian
刊名	Biomedical Engineering Online
	2015
英文摘要	Background: Magnetic resonance imaging (MRI) is corrupted by Rician noise, which is image dependent and computed from both real and imaginary images. Rician noise makes image-based quantitative measurement difficult. The non-local means (NLM) filter has been proven to be effective against additive noise. Methods: Considering the characteristics of both Rician noise and the NLM filter, this study proposes a frame for a pre-smoothing NLM (PSNLM) filter combined with image transformation. In the PSNLM frame, noisy MRI is first transformed into an image in which noise can be treated as additive noise. Second, the transformed MRI is pre-smoothed via a traditional denoising method. Third, the NLM filter is applied to the transformed MRI, with weights that are computed from the pre-smoothed image. Finally, inverse transformation is performed on the denoised MRI to obtain the denoising results. Results: To test the performance of the proposed method, both simulated and real patient data are used, and various pre-smoothing (Gaussian, median, and anisotropic filters) and image transformation [squared magnitude of the MRI, and forward and inverse variance-stabilizing trans-formations (VST)] methods are used to reduce noise. The performance of the proposed method is evaluated through visual inspection and quantitative comparison of the peak signal-to-noise ratio of the simulated data. The real data include Alzheimer's disease patients and normal controls. For the real patient data, the performance of the proposed method is evaluated by detecting atrophy regions in the hippocampus and the parahippocampal gyrus. Conclusions: The comparison of the experimental results demonstrates that using a Gaussian pre-smoothing filter and VST produce the best results for the peak signal-to-noise ratio (PSNR) and atrophy detection
收录类别	SCI
原文出处	http://www.biomedical-engineering-online.com/content/14/1/2
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/7100]
专题	深圳先进技术研究院_医工所
作者单位	Biomedical Engineering Online
推荐引用方式 GB/T 7714	Yang, Jian,Fan Jingfan,Ai Danni,et al. Brain MR image denoising for Rician noise using pre-smooth non-local means filter[J]. Biomedical Engineering Online,2015.
APA	Yang, Jian,Fan Jingfan,Ai Danni,Zhou Shoujun,Tang Songyuan,&Wang Yongtian.(2015).Brain MR image denoising for Rician noise using pre-smooth non-local means filter.Biomedical Engineering Online.
MLA	Yang, Jian,et al."Brain MR image denoising for Rician noise using pre-smooth non-local means filter".Biomedical Engineering Online (2015).