A MRI Denoising Method Based on 3D Nonlocal Means and Multidimensional PCA
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Recently nonlocal means (NLM) and its variants have been applied in the various scientific fields extensively due to its simplicity and desirable property to conserve the neighborhood information.
The two-stage MRI denoising algorithm proposed in this paper is based on 3D optimized blockwise version of NLM and multidimensional PCA (MPCA).
The proposed algorithm takes full use of the block representation advantageous of NLM3D to restore the noisy slice from different neighboring slices and employs MPCA as a postprocessing step to remove noise further while preserving the structural information of 3D MRI.
The experiments have demonstrated that the proposed method has achieved better visual results and evaluation criteria than 3D-ADF, NLM3D, and OMNLM_LAPCA.
American Psychological Association (APA)
Liu, Chang& Gao, Chaobang& Xi, Yu. 2015. A MRI Denoising Method Based on 3D Nonlocal Means and Multidimensional PCA. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057836
Modern Language Association (MLA)
Liu, Chang…[et al.]. A MRI Denoising Method Based on 3D Nonlocal Means and Multidimensional PCA. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057836
American Medical Association (AMA)
Liu, Chang& Gao, Chaobang& Xi, Yu. A MRI Denoising Method Based on 3D Nonlocal Means and Multidimensional PCA. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057836
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057836