Performance evaluation of cardiac MRI image denoising techniques

M. A. AlAttar, A. G. Motaal, N. F. Osman, A. S. Fahmy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Black-blood cardiac Magnetic Resonance Imaging (MRI) plays an important role in diagnosing a number of heart diseases. The technique suffers inherently from low contrast-tonoise ratio between the myocardium and the blood. In this work, we examined the performance of different classification techniques that can be used. The three techniques successfully removed the noise with different performance. Numerical simulation has been done to quantitatively evaluate the performance of each technique.

Original languageEnglish (US)
Title of host publication2008 Cairo International Biomedical Engineering Conference, CIBEC 2008
DOIs
StatePublished - Dec 1 2008
Externally publishedYes
Event2008 Cairo International Biomedical Engineering Conference, CIBEC 2008 - Cairo, Egypt
Duration: Dec 18 2008Dec 20 2008

Publication series

Name2008 Cairo International Biomedical Engineering Conference, CIBEC 2008

Other

Other2008 Cairo International Biomedical Engineering Conference, CIBEC 2008
CountryEgypt
CityCairo
Period12/18/0812/20/08

Keywords

  • Bayes classifier
  • Black blood contrast
  • Image denoising
  • MRI

ASJC Scopus subject areas

  • Biomedical Engineering

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  • Cite this

    AlAttar, M. A., Motaal, A. G., Osman, N. F., & Fahmy, A. S. (2008). Performance evaluation of cardiac MRI image denoising techniques. In 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008 [4786055] (2008 Cairo International Biomedical Engineering Conference, CIBEC 2008). https://doi.org/10.1109/CIBEC.2008.4786055