Highly undersampled phase-contrast flow measurements using compartment-based k-t principal component analysis

Daniel Giese*, Tobias Schaeffter, Sebastian Kozerke

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

The applicability of cine blood flow measurements in a clinical setting is often compromised by the long scan times associated with phase-contrast imaging. In this work, we propose an extension to the kt principal component analysis method and demonstrate that by definition of spatial compartment-dependent temporal basis functions, significant improvements in reconstruction accuracy can be achieved relative to the original kt principal component analysis and kt SENSE formulations. Using this method, it is shown that prospective nominal undersampling of up to 16 corresponding to a net acceleration factor of 8 including training data acquisition can be realized while keeping the error in stroke volume below 5%. As a practical application, the acquisition of cine flow data in the aorta is demonstrated permitting assessment of two-dimensional velocity images and pulse wave velocities at 100 frames per second in a single breathhold per slice. 

Original languageEnglish
Article numberN/A
Pages (from-to)434-443
Number of pages10
JournalMagnetic Resonance in Medicine
Volume69
Issue number2
DOIs
Publication statusPublished - Feb 2013

Keywords

  • flow measurements
  • phase contrast
  • k-t acceleration
  • constrained reconstruction
  • principal component analysis
  • MAGNETIC-RESONANCE
  • BLAST RECONSTRUCTION
  • DYNAMIC MRI
  • SENSE
  • GRAPPA
  • ACCURACY
  • QUANTIFICATION

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