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

fYear

2008

fDate

18-20 Dec. 2008

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CIBEC.2008.4786055

Filename

4786055