Cardiac MRI steam images denoising using bayes classifier

A. G. Motaal, M. A. Al-Attar, N. F. Osman, A. S. Fahmy

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

Abstract

Imaging of the heart anatomy and function using magnetic resonance imaging (MRI) is an important diagnosis tool for heart diseases. Several techniques have been developed to increase the contrast-to-noise ratio (CNR) between myocardium and background. Recently, a technique that acquires cine cardiac images with black-blood contrast has been proposed. Although the technique produces cine sequence of high contrast, it suffers from elevated noise which limits the CNR. In this paper, we study the performance and efficiency of applying a Bayes classifier to remove background noise. Real MRI data is used to test and validate the proposed method; In addition, a quantitative comparison is done between the proposed method and other thresholding-based classifications techniques.

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

ASJC Scopus subject areas

  • Biomedical Engineering

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  • Cite this

    Motaal, A. G., Al-Attar, M. A., Osman, N. F., & Fahmy, A. S. (2008). Cardiac MRI steam images denoising using bayes classifier. In 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008 [4786056] (2008 Cairo International Biomedical Engineering Conference, CIBEC 2008). https://doi.org/10.1109/CIBEC.2008.4786056