Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion

15 years 9 months ago

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This paper presents a method aimed to noise removal in MRI (Magnetic Resonance Imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In our schema, the diffusion equation of the filter has been modified to take into account the edges direction, This allows the filter to blur uniform areas, while it better preserves the edges. Both quantitative and qualitative evaluation is presented and the results are compared with other methods.

Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,

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Anisotropic Diffusion | Brain Mri | Magnetic Resonance Images | Noise Removal |

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Added	15 Jan 2010
Updated	15 Jan 2010
Type	Conference
Year	2008
Where	CBMS
Authors	Edoardo Ardizzone, Orazio Gambino, Roberto Gallea, Roberto Pirrone

@inproceedings{1439482,
author = {Gallea, Roberto and Ardizzone, Edoardo and Pirrone, Roberto and Gambino, Orazio},
title = {Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion},
booktitle = {CBMS '08: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems},
year = {2008},
isbn = {978-0-7695-3165-6},
pages = {29--34},
doi = {http://dx.doi.org/10.1109/CBMS.2008.31},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA}
}

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Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion

Anisotropic Diffusion | Brain Mri | Magnetic Resonance Images | Noise Removal |

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