A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images

Authors

  • M. A. Yousuf Assistant Professor
  • M. N. Nobi Student

DOI:

https://doi.org/10.3329/jsr.v3i1.5544

Keywords:

Magnetic Resonance Image, Ultrasound Image, PSNR, SNR, RMSE

Abstract

In medical image processing, medical images are corrupted by different type of noises. It is very important to obtain precise images to facilitate accurate observations for the given application. Removing of noise from medical images is now a very challenging issue in the field of medical image processing. Most well known noise reduction methods, which are usually based on the local statistics of a medical image, are not efficient for medical image noise reduction. This paper presents an efficient and simple method for noise reduction from medical images. In the proposed method median filter is modified by adding more features. Experimental results are also compared with the other three image filtering algorithms. The quality of the output images is measured by the statistical quantity measures: peak signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR) and root mean square error (RMSE). Experimental results of magnetic resonance (MR) image and ultrasound image demonstrate that the proposed algorithm is comparable to popular image smoothing algorithms.

Key words: Magnetic resonance image; Ultrasound image; PSNR; SNR; RMSE.

© 2011 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.

doi:10.3329/jsr.v3i1.5544                J. Sci. Res. 3 (1), 81-89 (2011)

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Author Biographies

M. A. Yousuf, Assistant Professor

Assistant Professor, Department of Computer Science and Engineering, Mawlana Bhashani Science & Technology University, Tangail, Bangladesh

M. N. Nobi, Student

Student, 4th year 2nd semester, Department of Computer Science and Engineering, Mawlana Bhashani Science & Technology University, Tangail, Bangladesh

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Published

2010-12-19

How to Cite

Yousuf, M. A., & Nobi, M. N. (2010). A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images. Journal of Scientific Research, 3(1), 81. https://doi.org/10.3329/jsr.v3i1.5544

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Section

Section A: Physical and Mathematical Sciences