Evaluating denoising performances of fundamental filters for T2-weighted MRI images

Evaluating denoising performances of fundamental filters for T2-weighted MRI images

In Magnetic Resonance (MR) images, noise is a common issue which limits the image accuracy of any quantitative measurements. Noise elimination in MRI image pre-processing is an important step to eliminate the noise and to make the image fit for further steps involved in the process of analyzing. How...

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Bibliographic Details
Main Authors: Darus, S. (Author), Ding L. (Author), Howlett R.J (Author), Isa, I.S (Author), Jain L.C (Author), Leong M.K (Author), Mustapha, M. (Author), Pang C. (Author), Sulaiman, S.N (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2015
Subjects:
Additive noise
Computer aided analysis
Computer aided diagnosis
Computer aided diagnosis systems
Denoising
De-noising
Image denoising
Image preprocessing
Image pre-processing
Image processing
Image quality
Image segmentation
Knowledge based systems
Magnetic resonance
Magnetic resonance imaging
Mean square error
Median filters
MRI image
MRI Image
Noise
Peak signal to noise ratio
Quantitative evaluation
Quantitative measurement
Signal to noise ratio
Speckle
Spurious signal noise
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