Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Jun;35(6):1462-71.
doi: 10.1002/jmri.23588. Epub 2012 Jan 26.

Four-dimensional phase contrast MRI with accelerated dual velocity encoding

Affiliations

Four-dimensional phase contrast MRI with accelerated dual velocity encoding

Elizabeth J Nett et al. J Magn Reson Imaging. 2012 Jun.

Abstract

Purpose: To validate a novel approach for accelerated four-dimensional phase contrast MR imaging (4D PC-MRI) with an extended range of velocity sensitivity.

Materials and methods: 4D PC-MRI data were acquired with a radially undersampled trajectory (PC-VIPR). A dual V(enc) (dV(enc) ) processing algorithm was implemented to investigate the potential for scan time savings while providing an improved velocity-to-noise ratio. Flow and velocity measurements were compared with a flow pump, conventional 2D PC MR, and single V(enc) 4D PC-MRI in the chest of 10 volunteers.

Results: Phantom measurements showed excellent agreement between accelerated dV(enc) 4D PC-MRI and the pump flow rate (R(2) ≥ 0.97) with a three-fold increase in measured velocity-to-noise ratio (VNR) and a 5% increase in scan time. In volunteers, reasonable agreement was found when combining 100% of data acquired with V(enc) = 80 cm/s and 25% of the high V(enc) data, providing the VNR of a 80 cm/s acquisition with a wider velocity range of 160 cm/s at the expense of a 25% longer scan.

Conclusion: Accelerated dual V(enc) 4D PC-MRI was demonstrated in vitro and in vivo. This acquisition scheme is well suited for vascular territories with wide ranges of flow velocities such as congenital heart disease, the hepatic vasculature, and others.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Schematic of acquisition and dual Venc reconstruction. The parameters shown are those that were used in volunteers. Three, 12–13 minute PC VIPR data sets are acquired with three Vencs: one high Venc (160 cm/s) and two low Vencs (80, 40 cm/s). Dual Venc images are reconstructed with a low Venc data set and different percentages of the high Venc data set. The undersampled high Venc reconstruction mimics acquiring less high Venc data.
Figure 2
Figure 2
Slice locations analyzed in the comparison study. Volume rendering of the phase contrast angiogram derived from a PC VIPR exam was not part of the analysis. Arterial (red) and venous (blue) system have been segmented to facilitate orientation. Velocity and flow measurements were made in the ascending and descending aorta (AAO and DAO), main pulmonary artery (MPA), and superior and inferior vena cava (SVC and IVC). The left and right atrium (LA, RA) and ventricles (LV, RV) are labeled for reference.
Figure 3
Figure 3
Flow rates measured with high Venc PC VIPR and dual Venc PC VIPR in a flow phantom programmed to deliver constant flow. Scatter was added around the set pump flow rates to allow for a better appreciation of the data. The dashed line marks the identity line. Overall, PC VIPR methods somewhat underestimated the flow rate but in most cases, flow rates measured agreed well with the programmed flow rates.
Figure 4
Figure 4
Relative gain in VNR efficiency of dual Venc in comparison to a single/high Venc PC VIPR scan. A marked increase in VNR efficiency can be achieved by decreasing undersampling expressed by relative scan times. With a 5% increase in scan time, the VNR efficiency can be increased from 26.7% to 77% (factor of 2.88) using a 4:1 ratio of high-to-low Venc scan during the reconstruction. When only 2% of the high Venc data is used to correct the low Venc scan, the VNR plummets due to phase unwrapping errors.
Figure 5
Figure 5
Summary of the results from Bland-Altman analysis comparing average (A) flow volume and (B) peak velocity measurements with 95% confidence intervals in high Venc PC VIPR and dual Venc PC VIPR with 2D PC. Flow volume [ml] was measured in the AAO, DAO, MPA, SVC, and IVC. Peak velocity was only measured in the arterial system (AAO, DAO, and MPA) because peak venous velocities are often difficult to define. The flow volumes and peak velocities measured with PC VIPR techniques are lower than those measured by 2D PC in most cases. This is most likely a result of the temporal filtering used in the PC VIPR reconstruction.
Figure 6
Figure 6
Measured average Qp/Qs ratios with error bars indicating ±1 standard deviation. The expected value of 1.03 ± 0.03 for normal volunteers is indicated by the solid line with the grey box representing 1 SD (21). Most techniques slightly underestimate Qp/Qs on average; however, all average values are within 10% of the expected Qp/Qs. For all techniques, the expected value of Qp/Qs is within ±1 standard deviation.
Figure 7
Figure 7
Example high, low and dual Venc PC VIPR images. The inlay in each image shows the descending aorta. Black arrows point to locations of uncorrected velocity aliasing. Each column of images is labeled with the relative scan time, increasing from left to right (100% for a single Venc PC VIPR acquisition). The dual Venc PC VIPR images have the same dynamic range as high Venc PC VIPR but with increased VNR. Phase errors decrease in dual Venc PC VIPR when the scan time is increased.
Figure 8
Figure 8
Representative flow waveforms acquired in (a) ascending aorta (AAO) and (b) superior vena cava (SVC) with 2D PC, balanced encoded PC VIPR and two dual Venc acquisitions. The ascending aorta waveforms agree extremely well across all techniques. There is more variation between the waveforms acquired in the SVC, most likely due to slower blood flows in the venous system. Note, the 2D PC waveforms cover a smaller time interval because the 2D PC acquisition is prospectively gated and the PC VIPR acquisitions are retrospectively gated.

References

    1. Bandettini WP, Arai AE. Advances in clinical applications of cardiovascular magnetic resonance imaging. Heart. 2008;94(11):1485–1495. - PMC - PubMed
    1. Koskenvuo JW, Jarvinen V, Parkka JP, Kiviniemi TO, Hartiala JJ. Cardiac magnetic resonance imaging in valvular heart disease. Clin Physiol Funct Imaging. 2009;29(4):229–240. - PubMed
    1. Markl M, Harloff A, Bley TA, et al. Time-resolved 3D MR velocity mapping at 3T: improved navigator-gated assessment of vascular anatomy and blood flow. J Magn Reson Imaging. 2007;25(4):824–831. - PubMed
    1. Uribe S, Beerbaum P, Sorensen TS, Rasmusson A, Razavi R, Schaeffter T. Four-dimensional (4D) flow of the whole heart and great vessels using real-time respiratory self-gating. Magn Reson Med. 2009;62(4):984–992. - PubMed
    1. Johnson KM, Gu T, Mistretta CA. 13th Proceedings of the ISMRM. Miami, FL: 2005. 4D Pressure Mapping with time-resolved PC VIPR; p. p. 598.

Publication types