Motion artifact suppression : A review of post-processing techniques

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)627-635
Journal / PublicationMagnetic Resonance Imaging
Volume10
Issue number4
Publication statusPublished - 1992
Externally publishedYes

Abstract

Patient motion during data acquisition in magnetic resonance imaging cuases artifacts in the reconstructed image, which for two-dimensional Fourier transform imaging techniques appear as blurring and ghost repetitions of the moving structures. While the problem with intra-view effects has been effectively addressed using gradient moment nulling techniques, there is no corresponding technique for inter-view effects with equal effectiveness and general applicability. A number of techniques have been proposed for correcting the inter-view effects, and these may be divided into those that minimise the corruption of the data, and those that post-process the data to restore the image. The techniques in the former category are briefly reviewed, then those in the latter category are examined in detail. These are analysed in terms of motion model, model parameter estimation, and data correction. © 1992.

Research Area(s)

  • Motion artifacts, Motion model, Parameter estimation, Postprocessing algorithm