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Multicomponent MR Image Denoising
Joint Authors
Thacker, Neil A.
Garcia-Martí, Gracian
Lull, Juan J.
Martí-Bonmatí, Luís
Robles, Montserrat
Manjón, José V.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-10-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Magnetic Resonance images are normally corrupted by random noise from the measurement process complicating the automatic feature extraction and analysis of clinical data.
It is because of this reason that denoising methods have been traditionally applied to improve MR image quality.
Many of these methods use the information of a single image without taking into consideration the intrinsic multicomponent nature of MR images.
In this paper we propose a new filter to reduce random noise in multicomponent MR images by spatially averaging similar pixels using information from all available image components to perform the denoising process.
The proposed algorithm also uses a local Principal Component Analysis decomposition as a postprocessing step to remove more noise by using information not only in the spatial domain but also in the intercomponent domain dealing in a higher noise reduction without significantly affecting the original image resolution.
The proposed method has been compared with similar state-of-art methods over synthetic and real clinical multicomponent MR images showing an improved performance in all cases analyzed.
American Psychological Association (APA)
Manjón, José V.& Thacker, Neil A.& Lull, Juan J.& Garcia-Martí, Gracian& Martí-Bonmatí, Luís& Robles, Montserrat. 2009. Multicomponent MR Image Denoising. International Journal of Biomedical Imaging،Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-496291
Modern Language Association (MLA)
Manjón, José V.…[et al.]. Multicomponent MR Image Denoising. International Journal of Biomedical Imaging No. 2009 (2009), pp.1-10.
https://search.emarefa.net/detail/BIM-496291
American Medical Association (AMA)
Manjón, José V.& Thacker, Neil A.& Lull, Juan J.& Garcia-Martí, Gracian& Martí-Bonmatí, Luís& Robles, Montserrat. Multicomponent MR Image Denoising. International Journal of Biomedical Imaging. 2009. Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-496291
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496291