A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation

@article{Diaz2011ACR,
  title={A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation},
  author={Idanis Diaz and Pierre Boulanger and Russell Greiner and Albert Murtha},
  journal={2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2011},
  pages={3934-3937}
}
One can find in the literature numerous techniques to reduce noise in Magnetic Resonance Images (MRI). This paper critically reviews modern de-noising algorithms (Gaussian filter, anisotropic diffusion, wavelet, and non-local mean) in terms of their efficiency, statistical assumptions, and their ability to improve brain tumor segmentation results. We will show that although different techniques do reduce the noise, many generate artifacts that are incompatible with precise brain tumor… CONTINUE READING
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