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Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension
Joint Authors
Li, Ming
Liao, Zhiwu
Hu, Shaoxiang
Zhou, Jiliu
Zheng, Xiuqing
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
NLMs is a state-of-art image denoising method; however, it sometimes oversmoothes anatomical features in low-dose CT (LDCT) imaging.
In this paper, we propose a simple way to improve the spatial adaptivity (SA) of NLMs using pointwise fractal dimension (PWFD).
Unlike existing fractal image dimensions that are computed on the whole images or blocks of images, the new PWFD, named pointwise box-counting dimension (PWBCD), is computed for each image pixel.
PWBCD uses a fixed size local window centered at the considered image pixel to fit the different local structures of images.
Then based on PWBCD, a new method that uses PWBCD to improve SA of NLMs directly is proposed.
That is, PWBCD is combined with the weight of the difference between local comparison windows for NLMs.
Smoothing results for test images and real sinograms show that PWBCD-NLMs with well-chosen parameters can preserve anatomical features better while suppressing the noises efficiently.
In addition, PWBCD-NLMs also has better performance both in visual quality and peak signal to noise ratio (PSNR) than NLMs in LDCT imaging.
American Psychological Association (APA)
Zheng, Xiuqing& Liao, Zhiwu& Hu, Shaoxiang& Li, Ming& Zhou, Jiliu. 2013. Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-506615
Modern Language Association (MLA)
Zheng, Xiuqing…[et al.]. Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-506615
American Medical Association (AMA)
Zheng, Xiuqing& Liao, Zhiwu& Hu, Shaoxiang& Li, Ming& Zhou, Jiliu. Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-506615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506615