Performance evaluation of cardiac MRI image denoising techniques

M.A. AlAttar; A.G.A. Mohamed; N.F. Osman; A.S. Fahmy

doi:10.1109/CIBEC.2008.4786055

Performance evaluation of cardiac MRI image denoising techniques

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

Medical Image Analysis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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-to-noise 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 language	English
Title of host publication	Proceedings of the Biomedical Engineering Conference (CIBEC 2008), 18-20 December 2008, Cairo, Egypt
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-4
DOIs	https://doi.org/10.1109/CIBEC.2008.4786055
Publication status	Published - 2008

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10.1109/CIBEC.2008.4786055

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title = "Performance evaluation of cardiac MRI image denoising techniques",

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-to-noise 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.",

author = "M.A. AlAttar and A.G.A. Mohamed and N.F. Osman and A.S. Fahmy",

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Performance evaluation of cardiac MRI image denoising techniques. / AlAttar, M.A.; Mohamed, A.G.A.; Osman, N.F. et al.

Proceedings of the Biomedical Engineering Conference (CIBEC 2008), 18-20 December 2008, Cairo, Egypt. Institute of Electrical and Electronics Engineers, 2008. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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-to-noise 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.

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BT - Proceedings of the Biomedical Engineering Conference (CIBEC 2008), 18-20 December 2008, Cairo, Egypt

PB - Institute of Electrical and Electronics Engineers

ER -

Performance evaluation of cardiac MRI image denoising techniques

Abstract

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