Optimized parallel imaging for dynamic PC-MRI with multidirectional velocity encoding

Hsu Hsia Peng, Simon Bauer, Teng Yi Huang, Hsiao Wen Chung, Jürgen Hennig, Bernd Jung, Michael Markl*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Phase contrast MRI with multidirectional velocity encoding requires multiple acquisitions of the same k-space lines to encode the underlying velocities, which can considerably lengthen the total scan time. To reduce scan time, parallel imaging is often applied. In dynamic phase contrast MRI using standard generalized autocalibrating partially parallel acquisitions (GRAPPA), several central k-spaces for autocalibration of the reconstruction (autocalibrating signal lines (ACS)) are typically acquired, separately for each velocity direction and each cardiac timeframe, for calculating the reconstruction weights. To further accelerate data acquisition, we developed two methods, which calculated weights with a substantially reduced number of ACSl lines. The effects on image quality and flow quantification were compared to fully sampled data, standard GRAPPA, and time-interleaved sampling scheme in combination with generalized autocalibrating partially parallel acquisitions (TGRAPPA). The results show that the two proposed methods can clearly improve scan efficiency while maintaining image quality and accuracy of measured flow or myocardial tissue velocities. Compared to TGRAPPA, the proposed methods were more accurate in evaluating flow velocity. In conclusion, the proposed reconstruction strategies are promising for dynamic multidirectionally encoded acquisitions and can easily be implemented using the standard GRAPPA reconstruction algorithm.

Original languageEnglish (US)
Pages (from-to)472-480
Number of pages9
JournalMagnetic resonance in medicine
Volume64
Issue number2
DOIs
StatePublished - Aug 2010

Keywords

  • Dynamic phase contrast imaging
  • GRAPPA
  • Parallel imaging
  • Undersampling
  • Velocity

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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