@inproceedings{c7a18749f2fe44d5ac45cb1654e0f077,
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-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.",
keywords = "Bayes classifier, Black blood contrast, Image denoising, MRI",
author = "AlAttar, {M. A.} and Motaal, {A. G.} and Osman, {N. F.} and Fahmy, {A. S.}",
year = "2008",
doi = "10.1109/CIBEC.2008.4786055",
language = "English (US)",
isbn = "9781424426959",
series = "2008 Cairo International Biomedical Engineering Conference, CIBEC 2008",
booktitle = "2008 Cairo International Biomedical Engineering Conference, CIBEC 2008",
note = "2008 Cairo International Biomedical Engineering Conference, CIBEC 2008 ; Conference date: 18-12-2008 Through 20-12-2008",
}