6533b7d8fe1ef96bd126a5a9

RESEARCH PRODUCT

Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion

Edoardo ArdizzoneOrazio GambinoRoberto GalleaRoberto Pirrone

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNoise Removal Magnetic Resonance Images Anisotropic Diffusion Brain MRIDiffusion equationNoise measurementComputer scienceAnisotropic diffusionWiener filterComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFilter (signal processing)Edge-preserving smoothingMagnetic fieldAdaptive filtersymbols.namesakeComputer Science::Computer Vision and Pattern RecognitionsymbolsAlgorithm

description

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.

yearjournalcountryeditionlanguage
2008-06-012008 21st IEEE International Symposium on Computer-Based Medical Systems
https://doi.org/10.1109/cbms.2008.31