Title :
Performance Evaluation of Cardiac MRI Image Denoising Techniques
Author :
AlAttar, M.A. ; Motaal, A.G. ; Osman, N.F. ; Fahmy, A.S.
Author_Institution :
Sch. of Commun. & Inf. Technol., Nile Univ., Cairo
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.
Keywords :
biomedical MRI; cardiology; image classification; image denoising; medical image processing; black blood cardiac MRI; cardiac MRI image denoising; classification techniques; heart disease diagnosis; magnetic resonance imaging; Background noise; Biomedical engineering; Biomedical informatics; Blood; Cardiac disease; Image denoising; Information technology; Magnetic resonance imaging; Myocardium; Pixel; Bayes classifier; Image denoising; MRI; black blood contrast;
Conference_Titel :
Biomedical Engineering Conference, 2008. CIBEC 2008. Cairo International
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-2694-2
Electronic_ISBN :
978-1-4244-2695-9
DOI :
10.1109/CIBEC.2008.4786055
