Performance Analysis of Intensity Averaging By Anisotropic Diffusion Method for MRI Denoising Corrupted By Random Noise

Ms. Ami Vibhakar; ami vibhakar

Performance Analysis of Intensity Averaging By Anisotropic Diffusion Method for MRI Denoising Corrupted By Random Noise

Ms. Ami Vibhakar * §

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rathore_sanjay1

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Ragiv gandhi technical university

Performance Analysis of Intensity Averaging By Anisotropic Diffusion Method for MRI Denoising Corrupted By Random Noise

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Abstract

The two parameters which plays important role in MRI (magnetic resonance imaging), acquired by various imaging modalities are Feature extraction and object recognition. These operations will become difficult if the images are corrupted with noise. Noise in MR image is always random type of noise. This noise will change the value of amplitude and phase of each pixel in MR image. Due to this, MR image gets corrupted and we cannot make perfect diagnostic for a body. So noise removal is essential task for perfect diagnostic. There are different approaches for noise reduction, each of which has its own advantages and limitation. MRI denoising is a difficult task as fine details in medical image containing diagnostic information should not be removed during noise removal process. In this paper, we are representing an algorithm for MRI denoising in which we are using iterations and Gaussian blurring for amplitude reconstruction and image fusion, anisotropic diffusion and FFT for phase reconstruction. We are using the PSNR(Peak signal to noise ration), MSE(Mean square error) and RMSE(Root mean square error) as performance matrices to measure the quality of denoised MRI .The final result shows that this method is effectively removing the noise while preserving the edge and fine information in the images.

References

16 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ms. Ami Vibhakar, rathore_sanjay1. 2012. "Performance Analysis of Intensity Averaging By Anisotropic Diffusion Method for MRI Denoising Corrupted By Random Noise". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F12).

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GJCST Volume 12 Issue F12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

anisotropic diffusion Gaussian blur Image denoising Image Fusion iteration MRI MSE PSNR Random noise

Classification

GJCST-F Classification I.4.3

Submission ReceivedFebruary 12, 2012
Peer Review Double Blind
Handling Editor
Accepted March 3, 2012
Published March 15, 2012

Version of record

v1.2

Issue date

August 20, 2012

Language

English

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Article Matrices

Total Score: 144

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Ms. Ami Vibhakar, Prof.Mukesh Tiwari, Prof. Jaikaran Singh, Prof Sanjay Rathore (PhD/Dr. count: 0)

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Publish Date: 2012 03, Thu

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Total Views: 3K

Total Downloads: 148

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