Adaptive template filtering for signal-to-noise ratio enhancement in magnetic resonance imaging

Ahn, CB Song, YC Park, DJ

Cb. Ahn et al., Adaptive template filtering for signal-to-noise ratio enhancement in magnetic resonance imaging, IEEE MED IM, 18(6), 1999, pp. 549-556

17

INGLESE

Article

Radiology ,Nuclear Medicine & Imaging","Eletrical & Eletronics Engineeing

IEEE TRANSACTIONS ON MEDICAL IMAGING

0278-0062 → ACNP

18

6

1999

549 - 556

ISI

0278-0062(199906)18:6<549:ATFFSR>2.0.ZU;2-O

In this paper, a local shape-adaptive template filtering is proposed for th e enhancement of the signal-to-noise ratio (SNR) without the loss of resolu tion in magnetic resonance (MR) imaging, Unlike conventional filtering, whe re the template shape and coefficients are fixed, multiple templates are de fined in the proposed algorithm. An optimal template is selected and optima l filtering, based on the template, is applied on a pixel-by-pixel basis. U sing the proposed process, edge blurring is minimized and SNR enhancement i s maximized by selecting the optimally matched template. Compared to existi ng two-dimensional (2-D) adaptive linear least square error (LLSE) filters ol direction-adaptive recursive filters, the proposed adaptive template fil ter provides higher SNR and sharper edges for both MR and artificial resolu tion phantom images.