Adaptively Tuned Iterative Low Dose CT Image Denoising
Joint Authors
Hashemi, SayedMasoud
Paul, Narinder S.
Cobbold, Richard S. C.
Beheshti, S.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Improving image quality is a critical objective in low dose computed tomography (CT) imaging and is the primary focus of CT image denoising.
State-of-the-art CT denoising algorithms are mainly based on iterative minimization of an objective function, in which the performance is controlled by regularization parameters.
To achieve the best results, these should be chosen carefully.
However, the parameter selection is typically performed in an ad hoc manner, which can cause the algorithms to converge slowly or become trapped in a local minimum.
To overcome these issues a noise confidence region evaluation (NCRE) method is used, which evaluates the denoising residuals iteratively and compares their statistics with those produced by additive noise.
It then updates the parameters at the end of each iteration to achieve a better match to the noise statistics.
By combining NCRE with the fundamentals of block matching and 3D filtering (BM3D) approach, a new iterative CT image denoising method is proposed.
It is shown that this new denoising method improves the BM3D performance in terms of both the mean square error and a structural similarity index.
Moreover, simulations and patient results show that this method preserves the clinically important details of low dose CT images together with a substantial noise reduction.
American Psychological Association (APA)
Hashemi, SayedMasoud& Paul, Narinder S.& Beheshti, S.& Cobbold, Richard S. C.. 2015. Adaptively Tuned Iterative Low Dose CT Image Denoising. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057959
Modern Language Association (MLA)
Hashemi, SayedMasoud…[et al.]. Adaptively Tuned Iterative Low Dose CT Image Denoising. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057959
American Medical Association (AMA)
Hashemi, SayedMasoud& Paul, Narinder S.& Beheshti, S.& Cobbold, Richard S. C.. Adaptively Tuned Iterative Low Dose CT Image Denoising. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057959
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057959