Performance Evaluation of Cardiac MRI Image Denoising Techniques

Performance Evaluation of Cardiac MRI Image Denoising Techniques

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 techniq...

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Bibliographische Detailangaben
Hauptverfasser: AlAttar, M.A., Motaal, A.G., Osman, N.F., Fahmy, A.S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Background noise
Bayes classifier
Biomedical engineering
Biomedical informatics
black blood contrast
Blood
Cardiac disease
Image denoising
Information technology
Magnetic resonance imaging
MRI
Myocardium
Pixel
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Beschreibung
Zusammenfassung: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.
ISSN:2156-6097
2156-6100
DOI:10.1109/CIBEC.2008.4786055