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High-quality multiple T(2)(∗) contrast MR images from low-quality multi-echo images using temporal-domain denoising methods.
MedLine Citation:
PMID:  22225317     Owner:  NLM     Status:  In-Data-Review    
Purpose: The aim of this study was to develop an effective postprocessing method to increase the signal-to-noise ratio in successive multi-echo magnetic resonance (MR) images acquired at multiple time points and generate high-quality multiple T(2)(∗) contrast images from low-quality multi-echo images.Methods: Successive multi-echo MR images were acquired at multiple time points using a multigradient-recalled echo sequence at 3T and rearranged so that each pixel in the images had its own decay signal in the temporal-domain. Two different denonising approaches were implemented in the temporal-domain: (1) In a filtering approach, conventional low-pass filter, median filter, and anisotropic diffusion filter were applied to the decay signals to reduce random noise; (2) In a model-based approach, a non-negative least squares algorithm was applied for fitting to MR relaxation model for decay signals. Numerical simulations and in vivo experiments were conducted. The denoised images were compared to each other by visual inspection and analysis of mean square error (MSE) and contrast-to-noise ratio (CNR) on several regions of interest.Results: Our proposed method suppressed noise in each multi-echo images without introducing spatial artifacts. This was a natural consequence of the proposed denoising process, which was performed in the temporal-domain and did not use any cross-pixel operation. MSEs decreased by a factor of 5.4-7.9 and CNRs increased by a factor of 5 in simulation studies. The results were consistent with the in vivo findings. Random noise in the images was effectively reduced and high-quality multiple T(2)(∗) contrast images were obtained.Conclusions: This study demonstrated that denoising methods in the temporal-domain can effectively suppress noise in the spatial domain, and increase signal-to-noise ratio (SNR) for each image of different T(2)(∗) weights at multiple time points, resulting in multiple high-quality T(2)(∗) contrast images.
Ung Jang; Dosik Hwang
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Medical physics     Volume:  39     ISSN:  0094-2405     ISO Abbreviation:  Med Phys     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-01-09     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0425746     Medline TA:  Med Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  468     Citation Subset:  IM    
School of Electrical and Electronic Engineering, College of Engineering, Yonsei University, 262 Seongsanno, Seodaemun-gu, Seoul 120-749, Korea.
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