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 |
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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 | |
Publication status | Published - 2008 |