Noquist: Reduced Field-of-View Imaging by Direct Fourier Inversion

Marijn E. Brummer, David Moratal-Pérez, Chung Yi Hong, Roderic I. Pettigrew, José Millet-Roig, W. Thomas Dixon

Research output: Contribution to journalArticle

31 Scopus citations

Abstract

A novel technique called "Noquist" is introduced for the acceleration of dynamic cardiac magnetic resonance imaging (CMRI). With the use of this technique, a more sparsely sampled dynamic image sequence is reconstructed correctly, without Nyquist foldover artifact. Unlike most other reduced field-of-view (rFOV) methods, Noquist does not rely on data substitution or temporal interpolation to reconstruct the dynamic image sequence. The proposed method reduces acquisition time in dynamic MRI scans by eliminating the data redundancy associated with static regions in the dynamic scene. A reduction of imaging time is achieved by a fraction asymptotically equal to the static fraction of the FOV, by omitting acquisition of an appropriate subset of phase-encoding views from a conventional equidistant Cartesian acquisition grid. The theory behind this method is presented along with sample reconstructions from real and simulated data. Noquist is compared with conventional cine imaging by retrospective selection of a reduced data set from a full-grid conventional image sequence. In addition, a comparison is presented, using real and simulated data, of our technique with an existing rFOV technique that uses temporal interpolation. The experimental results confirm the theory, and demonstrate that Noquist reduces scan time for cine MRI while fully preserving both spatial and temporal resolution, but at the cost of a reduced signal-to-noise ratio (SNR).

Original languageEnglish (US)
Pages (from-to)331-342
Number of pages12
JournalMagnetic Resonance in Medicine
Volume51
Issue number2
DOIs
StatePublished - Feb 2004

Keywords

  • Cardiac imaging
  • Fast cine imaging
  • Image reconstruction
  • MRI
  • Reduced field of view

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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