Estimation and removal of noise from single and multiple coil MRI
Abstract:
Estimation and removal of noise from Magnetic Resonance Images (MRI) is an active area of research. Noise remains one of the main causes of quality deterioration in MRI and is a subject in a large number of papers in the MRI literature. Consideration of how noise affects the true signal is important for proper interpretation and analysis of MR images. This work mainly deals with the estimation of noise and the underlying true signal from both single and multiple coil acquired magnetic resonance images. The main contributions in this work can be summarized as (i) Estimation of noise from MRI in the absence of background region (ii) Effective denoising of MRI and (iii) Methods to denoise pMRI images.
Publications:
“Maximum likelihood estimation based denoising of magnetic resonance images using restricted local neighborhoods”, Physics in Medicine and Biology, vol. 56, pp. 5221-5234, 2011. Download full paper (643.93 KB)
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“Noise measurement from magnitude MRI using local estimates of variance and skewness.”, Physics in medicine and biology, vol. 55, no. 16, pp. N441-9, 2010. Download paper (219.85 KB)
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