Noise removal for multi-echo MR images using global enhancement

Seongwook Hong, Xuenan Cui, Shengzhe Li, Naw Chit Too June, Kyu Sung Kwack, Hakil Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Magnetic Resonance Images are corrupted by random noise which affects the accuracy of the quantitative measurements when acquiring the data. This paper proposes an effective noise removal method for multiple-echo MR images using global enhancement. Applying inverse histogram equalization to the mean image, not only the noise is removed from the MRI but also the noise-free image can be reconstructed. Firstly, the background is segmented using morphological operations and curve fitting based on histogram equalization is performed to normalize the noise signal. Then, the average filtering is applied to the segmented MR images in order to remove the noise. Next, the noise-removed multi-echo MR images are reconstructed using the inverse histogram equalization. The experimental results demonstrate that the proposed method can eliminate not only anisotropic noises but also the flow artifacts in multi-echo MR Images.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Pages3616-3621
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 - Istanbul, Turkey
Duration: 10 Oct 201013 Oct 2010

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Country/TerritoryTurkey
CityIstanbul
Period10/10/1013/10/10

Keywords

  • Flow artifacts
  • Histogram equalization
  • Multi-echo MRI
  • Noise removal
  • T2 mapping

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