Improving the Performance of the Prony Method Using a Wavelet Domain Filter for MRI Denoising
Joint Authors
Paluszny, Marco
Lentini, Marianela
Jaramillo, Rodney
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The Prony methods are used for exponential fitting.
We use a variant of the Prony method for abnormal brain tissue detection in sequences of T2 weighted magnetic resonance images.
Here, MR images are considered to be affected only by Rician noise, and a new wavelet domain bilateral filtering process is implemented to reduce the noise in the images.
This filter is a modification of Kazubek’s algorithm and we use synthetic images to show the ability of the new procedure to suppress noise and compare its performance with respect to the original filter, using quantitative and qualitative criteria.
The tissue classification process is illustrated using a real sequence of T2 MR images, and the filter is applied to each image before using the variant of the Prony method.
American Psychological Association (APA)
Jaramillo, Rodney& Lentini, Marianela& Paluszny, Marco. 2014. Improving the Performance of the Prony Method Using a Wavelet Domain Filter for MRI Denoising. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-499940
Modern Language Association (MLA)
Jaramillo, Rodney…[et al.]. Improving the Performance of the Prony Method Using a Wavelet Domain Filter for MRI Denoising. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-499940
American Medical Association (AMA)
Jaramillo, Rodney& Lentini, Marianela& Paluszny, Marco. Improving the Performance of the Prony Method Using a Wavelet Domain Filter for MRI Denoising. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-499940
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499940