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Left ventricular flow patterns have been studied as potential early-stage markers of cardiac dysfunction.1 A relatively new method of measuring left ventricular flow patterns, named echo-particle image velocimetry (echoPIV), tracks the motion of ultrasound contrast agent microbubbles in the blood using echocardiography. However, the low frame rates (50–70 Hz) permitted by the current generation of clinical ultrasound scanners cause velocity magnitudes to be severely underestimated during filling and ejection (<40 cm/s at 50 Hz).2 High-frame-rate (HFR) echocardiography, using diverging wave transmission schemes, has allowed for frame rates of ≤100× faster than conventional line-scanning echocardiography. The image quality improvements when using HFR contrast-enhanced ultrasound over conventional contrast-enhanced ultrasound have recently been described.3 Still, measurement of the high-energy and high-velocity transmitral jet has yet to be demonstrated in humans. We have shown previously, in an in vitro left ventricular phantom study, that HFR echoPIV can accurately measure the high-energy diastolic flow patterns.4 In this work, we demonstrate that this holds true in a patient with heart failure.
A patient (19, woman, 1.65 m, 66 kg) with dilated cardiomyopathy and dual chamber pacing implantable cardioverter-defibrillators was admitted for decompensatio cordis. Apical 3-chamber views were obtained using both a clinical scanner (EPIQ 7 with X5-1 probe; Philips Healthcare, Best, the Netherlands) and a research scanner (Vantage 256; Verasonics, Kirkland, WA) with a P4-1 probe (Philips Healthcare). Pulsed-wave Doppler measurements were obtained, using the clinical scanner, in the region of the mitral valve tips. Ultrasound contrast agent (SonoVue; Bracco Imaging SpA, Milan, Italy) was then continuously infused at 0.6 mL/min (VueJect BR-INF 100; Bracco Imaging SpA), and its arrival in the left ventricle was verified with the clinical scanner. The research scanner was then used to obtain HFR contrast-enhanced ultrasound acquisitions using a 2-angle (−7° and 7°) diverging wave sequence with 2-pulse contrast scheme (pulse inversion; mechanical index ≈0.06 to 0.01) at a pulse repetition frequency of 4900 Hz, resulting in an imaging frame rate of 1225 Hz. EchoPIV analysis was performed in the polar domain, using custom particle image velocimetry software that used correlation compounding on ensembles of 5 frames for each angle.4 The final vector-grid resolution was 1.25° by 1.25 mm. HFR echoPIV magnitudes were validated by comparing the mean temporal velocity profile to the pulsed-wave Doppler spectrum captured in the same location. This study was approved by Erasmus Medical Center Medical Ethics Committee (NL63755.078.18).
The velocities measured with HFR echoPIV agreed well with the pulsed-wave Doppler spectrum (Figure [A]), with peak velocities ≤80 cm/s measured in this patient. This is the first demonstration of echoPIV measuring the high velocities present in the transmitral jet in adults. The high temporal resolution also permits study of the flow patterns in greater detail (Movie I in the Data Supplement). For example, the large, central clockwise vortex was observed pinching off the transmitral jet before migrating apically (Figure [B through D], *). Smaller, more transient vortices were also observed, such as the counterclockwise vortex between the jet and the free wall (Figure [B], †).
Figure. A, Mean echo-particle image velocimetry velocity (red) overlaid on pulsed-wave (PW) Doppler spectrogram obtained in the mitral valve (MV) region (see PW in B). BD, Velocity map visualization during diastolic filling (temporal locations marked in A), showing the high-velocity transmitral jet entering the ventricle (B) and central clockwise vortex that starts basally and migrates apically (C and D; Movie I in the Data Supplement). LVOT indicates left ventricular outflow tract. *Large, persistent clockwise vortex that pinches-off the jet and migrates apically. †Small, transient counterclockwise vortex constrained by free wall.
We have demonstrated in a patient with heart failure that HFR echoPIV can measure the, previously unobtainable, high-velocity flow patterns in 2-dimensions. This development has potential to become a useful tool in the study of intraventricular blood flow and its relation with ventricular function.

Supplemental Material

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References

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Sengupta PP, Pedrizzetti G, Kilner PJ, Kheradvar A, Ebbers T, Tonti G, Fraser AG, Narula J. Emerging trends in CV flow visualization. JACC Cardiovasc Imaging. 2012;5:305–316. doi: 10.1016/j.jcmg.2012.01.003
2.
Prinz C, Faludi R, Walker A, Amzulescu M, Gao H, Uejima T, Fraser AG, Voigt JU. Can echocardiographic particle image velocimetry correctly detect motion patterns as they occur in blood inside heart chambers? A validation study using moving phantoms. Cardiovasc Ultrasound. 2012;10:24. doi: 10.1186/1476-7120-10-24
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Toulemonde MEG, Corbett R, Papadopoulou V, Chahal N, Li Y, Leow CH, Cosgrove DO, Eckersley RJ, Duncan N, Senior R, Tang MX. High frame-rate contrast echocardiography: in-human demonstration. JACC Cardiovasc Imaging. 2018;11:923–924. doi: 10.1016/j.jcmg.2017.09.011
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Voorneveld J, Muralidharan A, Hope T, Vos HJ, Kruizinga P, van der Steen AFW, Gijsen FJH, Kenjeres S, de Jong N, Bosch JG. High frame rate ultrasound particle image velocimetry for estimating high velocity flow patterns in the left ventricle. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65:2222–2232. doi: 10.1109/TUFFC.2017.2786340

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Go to Circulation: Cardiovascular Imaging
Circulation: Cardiovascular Imaging
PubMed: 30939921

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Published in print: April 2019
Published online: 3 April 2019

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Keywords

  1. blood flow velocity
  2. echocardiography
  3. heart failure
  4. humans
  5. ventricular function

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Jason Voorneveld, MSc [email protected]
Department of Biomedical Engineering (J.V., L.B.H.K., A.F.W.v.d.S., N.d.J., H.J.V., J.G.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Lana B.H. Keijzer, MSc
Department of Biomedical Engineering (J.V., L.B.H.K., A.F.W.v.d.S., N.d.J., H.J.V., J.G.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Mihai Strachinaru, MD
Department of Cardiology (M.S., D.J.B., J.S.L.G., F.T.C., A.E.v.d.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Daniel J. Bowen, BSc
Department of Cardiology (M.S., D.J.B., J.S.L.G., F.T.C., A.E.v.d.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Jeffrey S.L. Goei, BSc
Department of Cardiology (M.S., D.J.B., J.S.L.G., F.T.C., A.E.v.d.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Folkert Ten Cate, PhD, MD
Department of Cardiology (M.S., D.J.B., J.S.L.G., F.T.C., A.E.v.d.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Antonius F.W. van der Steen, PhD
Department of Biomedical Engineering (J.V., L.B.H.K., A.F.W.v.d.S., N.d.J., H.J.V., J.G.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
N. de Jong, PhD
Department of Biomedical Engineering (J.V., L.B.H.K., A.F.W.v.d.S., N.d.J., H.J.V., J.G.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Hendrik J. Vos, PhD
Department of Biomedical Engineering (J.V., L.B.H.K., A.F.W.v.d.S., N.d.J., H.J.V., J.G.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Annemien E. van den Bosch, PhD, MD
Department of Cardiology (M.S., D.J.B., J.S.L.G., F.T.C., A.E.v.d.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.
Johan G. Bosch, PhD
Department of Biomedical Engineering (J.V., L.B.H.K., A.F.W.v.d.S., N.d.J., H.J.V., J.G.B.), Thorax Center, Erasmus Medical Center, Rotterdam, the Netherlands.

Notes

The Data Supplement is available at Supplemental Material.
Jason Voorneveld, MSc, Department of Biomedical Engineering, Thorax Center, Erasmus Medical Center, intern postadres Ee-2321, Postbus 2040, 3000 CA Rotterdam, the Netherlands. Email [email protected]

Disclosures

None.

Sources of Funding

This study was supported by ZonMw (Innovative Medical Devices Initiative program [project Heart Failure and 4D Flow, number 104003001]), The Hague, the Netherlands.

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  1. Angle-Independent Blood Flow Velocity Measurement With Ultrasound Speckle Decorrelation Analysis, IEEE Transactions on Medical Imaging, 44, 5, (2283-2294), (2025).https://doi.org/10.1109/TMI.2025.3529033
    Crossref
  2. Flow measurements in clinical cardiac imaging, Physical Review Fluids, 10, 2, (2025).https://doi.org/10.1103/PhysRevFluids.10.020501
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  3. Fabrication of Soft Transparent Patient‐Specific Vascular Models with Stereolithographic 3D printing and Thiol‐Based Photopolymerizable Coatings, Macromolecular Rapid Communications, 45, 6, (2024).https://doi.org/10.1002/marc.202300611
    Crossref
  4. Development of an in vitro setup for flow studies in a stented carotid artery bifurcation, Medical & Biological Engineering & Computing, 62, 4, (1165-1176), (2023).https://doi.org/10.1007/s11517-023-02977-x
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  5. The role of innovative modeling and imaging techniques in improving outcomes in patients with LVAD, Frontiers in Cardiovascular Medicine, 10, (2023).https://doi.org/10.3389/fcvm.2023.1248300
    Crossref
  6. Effect of Particle Image Velocimetry processing on CT Dicom images in a deep learning based pipeline for lung nodule segmentation✱, Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing, (1-8), (2023).https://doi.org/10.1145/3571600.3571632
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  7. On using a Particle Image Velocimetry based approach for candidate nodule detection, Multimedia Tools and Applications, 82, 15, (22871-22888), (2023).https://doi.org/10.1007/s11042-023-14493-z
    Crossref
  8. 粒子图像测速技术:从实验室到工业应用的进展(特邀), ACTA PHOTONICA SINICA, 52, 3, (0352103), (2023).https://doi.org/10.3788/gzxb20235203.0352103
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  9. Microbubble Enhanced Echocardiography in Current Cardiology Practice, Reviews in Cardiovascular Medicine, 23, 6, (2022).https://doi.org/10.31083/j.rcm2306202
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  10. Left ventricular high frame rate echo-particle image velocimetry: clinical application and comparison with conventional imaging, Cardiovascular Ultrasound, 20, 1, (2022).https://doi.org/10.1186/s12947-022-00283-4
    Crossref
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High-Frame-Rate Echo-Particle Image Velocimetry Can Measure the High-Velocity Diastolic Flow Patterns
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