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Image restoration and spatial resolution in 7‐tesla magnetic resonance imaging
Author(s) -
Lohmann Gabriele,
Bohn Stefan,
Müller Karsten,
Trampel Robert,
Turner Robert
Publication year - 2010
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.22488
Subject(s) - image resolution , magnetic resonance imaging , scanner , image restoration , nuclear magnetic resonance , signal to noise ratio (imaging) , wavelet , computer science , resolution (logic) , noise reduction , wiener filter , noise (video) , filter (signal processing) , signal (programming language) , distortion (music) , physics , artificial intelligence , image (mathematics) , computer vision , image processing , optics , medicine , amplifier , computer network , bandwidth (computing) , radiology , programming language
A good spatial resolution is essential for high precision segmentations of small structures in magnetic resonance images. However, any increase in the spatial resolution results in a decrease of the signal‐to‐noise ratio (SNR). In this article, this problem is addressed by a new image restoration technique that is used to partly compensate for the loss in SNR. Specifically, a two‐stage hybrid image restoration procedure is proposed where the first stage is a Wiener wavelet filter for an initial denoising. The artifacts that will inevitably be produced by this step are subsequently reduced using a recent variant of anisotropic diffusion. The method is applied to magnetic resonance imaging data acquired on a 7‐T magnetic resonance imaging scanner and compared with averaged multiple measurements of the same subject. It was found that the effect of image restoration procedure roughly corresponds to averaging across three repeated measurements. Magn Reson Med 64:15–22, 2010. © 2010 Wiley‐Liss, Inc.