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Proceedings Paper

Local shape-adaptive template filtering for signal-to-noise-ratio enhancement in magnetic resonance imaging
Author(s): Chang Beom Ahn; Y. C. Song; Chang Hyun Oh; Y. Yi; Dug-Jae Park
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Paper 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.

Paper Details

Date Published: 24 June 1998
PDF: 9 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310965
Show Author Affiliations
Chang Beom Ahn, Kwangwoon Univ. (South Korea)
Y. C. Song, Kwangwoon Univ. (South Korea)
Chang Hyun Oh, Korea Univ. (South Korea)
Y. Yi, Korea Univ. (South Korea)
Dug-Jae Park, Kwangwoon Univ. (South Korea)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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