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Quality Improvement on MRI Corrupted with Rician Noise Using Wave Atom Transform

by Sonia Saini, Virender Kumar, Sanjeev Dhiman
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 8
Year of Publication: 2012
Authors: Sonia Saini, Virender Kumar, Sanjeev Dhiman
10.5120/4630-6665

Sonia Saini, Virender Kumar, Sanjeev Dhiman . Quality Improvement on MRI Corrupted with Rician Noise Using Wave Atom Transform. International Journal of Computer Applications. 37, 8 ( January 2012), 28-32. DOI=10.5120/4630-6665

@article{ 10.5120/4630-6665,
author = { Sonia Saini, Virender Kumar, Sanjeev Dhiman },
title = { Quality Improvement on MRI Corrupted with Rician Noise Using Wave Atom Transform },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 8 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number8/4630-6665/ },
doi = { 10.5120/4630-6665 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:48.505954+05:30
%A Sonia Saini
%A Virender Kumar
%A Sanjeev Dhiman
%T Quality Improvement on MRI Corrupted with Rician Noise Using Wave Atom Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 8
%P 28-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Magnetic resonance imaging is a medical imaging technique that measures the response of atomic nuclei of body tissues to high frequency radio waves when placed in a strong magnetic field and that produces images of the internal organs. De-noising is always a challenging problem in magnetic resonance imaging and important for clinical diagnosis and computerized analysis, such as tissue classification and segmentation. It is well known that the noise in magnetic resonance imaging has a Rician distribution. . In this paper, an improved de-noising technique is proposed on Magnetic Resonance Images highly corrupted with Rician Noise using wave atom shrinkage.

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Index Terms

Computer Science
Information Sciences

Keywords

De-noising Histogram Magnetic Resonance Image Rician Noise Variance Estimation Wave Atom Transform.

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