Accelerated phase-contrast cine MRI using k-t SPARSE-SENSE

Daniel Kim, Hadrien A. Dyvorne, Ricardo Otazo, Li Feng, Daniel K. Sodickson, Vivian S. Lee

Research output: Contribution to journalArticlepeer-review


Phase-contrast (PC) cine MRI is a promising method for assessment of pathologic hemodynamics, including cardiovascular and hepatoportal vascular dynamics, but its low data acquisition efficiency limits the achievable spatial and temporal resolutions within clinically acceptable breath-hold durations. We propose to accelerate PC cine MRI using an approach which combines compressed sensing and parallel imaging (k-t SPARSE-SENSE). We validated the proposed 6-fold accelerated PC cine MRI against 3-fold accelerated PC cine MRI with parallel imaging (generalized autocalibrating partially parallel acquisitions). With the programmable flow pump, we simulated a time varying waveform emulating hepatic blood flow. Normalized root mean square error between two sets of velocity measurements was 2.59%. In multiple blood vessels of 12 control subjects, two sets of mean velocity measurements were in good agreement (mean difference = -0.29 cm/s; lower and upper 95% limits of agreement = -5.26 and 4.67 cm/s, respectively). The mean phase noise, defined as the standard deviation of the phase in a homogeneous stationary region, was significantly lower for k-t SPARSE-SENSE than for generalized autocalibrating partially parallel acquisitions (0.05 ± 0.01 vs. 0.19 ± 0.06 radians, respectively; P < 0.01). The proposed 6-fold accelerated PC cine MRI pulse sequence with k-t SPARSE-SENSE is a promising investigational method for rapid velocity measurement with relatively high spatial (1.7 mm A- 1.7 mm) and temporal (∼35 ms) resolutions.

Original languageEnglish (US)
Pages (from-to)1054-1064
Number of pages11
JournalMagnetic resonance in medicine
Issue number4
StatePublished - Apr 2012


  • MRI
  • PC MRI
  • blood flow
  • compressed sensing
  • liver
  • parallel imaging
  • velocity

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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