a note on the iterative mri reconstruction from nonuniform k-space data

Clicks: 117
ID: 237849
2007
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Abstract
In magnetic resonance imaging (MRI), methods that use a non-Cartesian grid in k-space are becoming increasingly important. In this paper, we use a recently proposed implicit discretisation scheme which generalises the standard approach based on gridding. While the latter succeeds for sufficiently uniform sampling sets and accurate estimated density compensation weights, the implicit method further improves the reconstruction quality when the sampling scheme or the weights are less regular. Both approaches can be solved efficiently with the nonequispaced FFT. Due to several new techniques for the storage of an involved sparse matrix, our examples include also the reconstruction of a large 3D data set. We present four case studies and report on efficient implementation of the related algorithms.
Reference Key
knopp2007internationala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Tobias Knopp;Stefan Kunis;Daniel Potts
Journal Chemistry, an Asian journal
Year 2007
DOI
10.1155/2007/24727
URL
http://dx.doi.org/10.1155/2007/24727
Keywords
medical physics nuclear medicinemedical technology medical radiology

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