Local shape-adaptive template filtering for signal-to-noise-ratio enhancement in magnetic resonance imaging

Chang Beom Ahn; Y. C. Song; Chang Hyun Oh; Y. Yi; Dug-Jae Park

doi:10.1117/12.310965

24 June 1998 Local shape-adaptive template filtering for signal-to-noise-ratio enhancement in magnetic resonance imaging

Chang Beom Ahn, Y. C. Song, Chang Hyun Oh, Y. Yi, Dug-Jae Park

Author Affiliations +

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310965
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

In this paper, a local shape adaptive template filtering is proposed for an enhancement of signal-to-noise ratio in magnetic resonance imaging without degradation of resolution. Instead of conventional template filtering where template shape is fixed, multiple templates are defined in the proposed method and optimal template among the multiple templates is selected and applied in pixel-by-pixel basis. By the proposed scheme, edge blurring is minimized by selecting mostly matched template, yet SNR enhancement by the filter is fully utilized. Compared to existing 2D linear least square error filter or direction-adaptive recursive filter, the proposed shape-adaptive filter with multiple templates provides higher SNR and sharper edges for both natural images and artificial resolution phantom images.

Citation Download Citation

Chang Beom Ahn, Y. C. Song, Chang Hyun Oh, Y. Yi, and Dug-Jae Park "Local shape-adaptive template filtering for signal-to-noise-ratio enhancement in magnetic resonance imaging", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310965

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