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Nonlinear Anisotropic Filtering with Considering of Various Structures in Magnetic Resonance Imaging  

Song Young-Chul (경북대 전자전기공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.52, no.3, 2003 , pp. 148-155 More about this Journal
Abstract
In this paper, a nonlinear anisotropic filtering method without the loss of important information happened due to the repeated filtering in magnetic resonance images is proposed. First of all original images are divided into four regions, e.g., SPR(Strong Plain Region), EPR(Easy Plain Region), SER(Strong Edge Region), and EER(Easy Edge Region). An optimal template among multiple templates is selected, then the nonlinear anisotropic filtering based on the template is applied in pixel by pixel basis. In the proposed algorithm, filtering strength of EER containing important information is adjusted very weak and filtering strength for remaining regions is also adjusted according to the degree of the importance. In spite of repeated filtering, resulting images by the proposed method could still preserve anatomy information of original images without any degradation. Compared to the existing nonlinear anisotropic filtering, the proposed filtering method with multiple templates provides higher reliability for filtered images.
Keywords
nonlinear anisotropic filtering; magnetic resonance image; multiple template; region classification;
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