High-Frame-Rate Echo-Particle Image Velocimetry Can Measure the High-Velocity Diastolic Flow Patterns
2019; Lippincott Williams & Wilkins; Volume: 12; Issue: 4 Linguagem: Inglês
10.1161/circimaging.119.008856
ISSN1942-0080
AutoresJason Voorneveld, Lana B. H. Keijzer, Mihai Strachinaru, Daniel J. Bowen, Jeffrey S.L. Goei, Folkert J. ten Cate, Antonius F.W. van der Steen, Nico de Jong, Hendrik J. Vos, Annemien E. van den Bosch, Johan G. Bosch,
Tópico(s)Ultrasound and Hyperthermia Applications
ResumoHomeCirculation: Cardiovascular ImagingVol. 12, No. 4High-Frame-Rate Echo-Particle Image Velocimetry Can Measure the High-Velocity Diastolic Flow Patterns Free AccessCase ReportPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissionsDownload Articles + Supplements ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toSupplemental MaterialFree AccessCase ReportPDF/EPUBHigh-Frame-Rate Echo-Particle Image Velocimetry Can Measure the High-Velocity Diastolic Flow Patterns Jason Voorneveld, MSc, Lana B.H. Keijzer, MSc, Mihai Strachinaru, MD, Daniel J. Bowen, BSc, Jeffrey S.L. Goei, BSc, Folkert Ten Cate, PhD, MD, Antonius F.W. van der Steen, PhD, N. de Jong, PhD, Hendrik J. Vos, PhD, Annemien E. van den Bosch, PhD, MD and Johan G. Bosch, PhD Jason VoorneveldJason Voorneveld Jason Voorneveld, MSc, Department of Biomedical Engineering, Thorax Center, Erasmus Medical Center, intern postadres Ee-2321, Postbus 2040, 3000 CA Rotterdam, the Netherlands. Email E-mail Address: [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. Search for more papers by this author , Lana B.H. KeijzerLana B.H. Keijzer 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. Search for more papers by this author , Mihai StrachinaruMihai Strachinaru 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. Search for more papers by this author , Daniel J. BowenDaniel J. Bowen 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. Search for more papers by this author , Jeffrey S.L. GoeiJeffrey S.L. Goei 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. Search for more papers by this author , Folkert Ten CateFolkert Ten Cate 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. Search for more papers by this author , Antonius F.W. van der SteenAntonius F.W. van der Steen 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. Search for more papers by this author , N. de JongN. de Jong 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. Search for more papers by this author , Hendrik J. VosHendrik J. Vos 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. Search for more papers by this author , Annemien E. van den BoschAnnemien E. van den Bosch 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. Search for more papers by this author and Johan G. BoschJohan G. Bosch 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. Search for more papers by this author Originally published3 Apr 2019https://doi.org/10.1161/CIRCIMAGING.119.008856Circulation: Cardiovascular Imaging. 2019;12:e008856Left 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], †).Download figureDownload PowerPointFigure. 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). B–D, 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.Sources of FundingThis study was supported by ZonMw (Innovative Medical Devices Initiative program [project Heart Failure and 4D Flow, number 104003001]), The Hague, the Netherlands.DisclosuresNone.FootnotesThe Data Supplement is available at https://www.ahajournals.org/doi/suppl/10.1161/CIRCIMAGING.119.008856.Jason Voorneveld, MSc, Department of Biomedical Engineering, Thorax Center, Erasmus Medical Center, intern postadres Ee-2321, Postbus 2040, 3000 CA Rotterdam, the Netherlands. Email j.[email protected]nlReferences1. 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.2012.01.003CrossrefMedlineGoogle Scholar2. 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: 10.1186/1476-7120-10-24CrossrefMedlineGoogle Scholar3. 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.2017.09.011CrossrefMedlineGoogle Scholar4. 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.2017.2786340CrossrefMedlineGoogle Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Hirata S, Hagihara Y, Yoshida K, Yamaguchi T, Toulemonde M and Tang M (2022) Evaluation of contrast enhancement ultrasound images of Sonazoid microbubbles in tissue-mimicking phantom obtained by optimal Golay pulse compression, Japanese Journal of Applied Physics, 10.35848/1347-4065/ac49fe, 61:SG, (SG1015), Online publication date: 1-Jul-2022. Strachinaru M, Voorneveld J, Keijzer L, Bowen D, Mutluer F, Cate F, de Jong N, Vos H, Bosch J and van den Bosch A (2022) Left ventricular high frame rate echo-particle image velocimetry: clinical application and comparison with conventional imaging, Cardiovascular Ultrasound, 10.1186/s12947-022-00283-4, 20:1, Online publication date: 1-Dec-2022. Hirata S, Leow C, Toulemonde M and Tang M (2021) Selection on Golay complementary sequences in binary pulse compression for microbubble detection, Japanese Journal of Applied Physics, 10.35848/1347-4065/abfdc0, 60:6, (066501), Online publication date: 1-Jun-2021. Schinkel A, Akin S, Strachinaru M, Muslem R, Bowen D, Yalcin Y, Brugts J, Constantinescu A, Manintveld O and Caliskan K (2020) Evaluation of patients with a HeartMate 3 left ventricular assist device using echocardiographic particle image velocimetry, Journal of Ultrasound, 10.1007/s40477-020-00533-z, 24:4, (499-503), Online publication date: 1-Dec-2021. Mutluer F, van der Velde N, Voorneveld J, Bosch J, Roos-Hesselink J, van der Geest R, Hirsch A and van den Bosch A (2021) Evaluation of intraventricular flow by multimodality imaging: a review and meta-analysis, Cardiovascular Ultrasound, 10.1186/s12947-021-00269-8, 19:1, Online publication date: 1-Dec-2021. Voorneveld J, Keijzer L, Strachinaru M, Bowen D, Mutluer F, van der Steen A, Cate F, de Jong N, Vos H, van den Bosch A and Bosch J Optimization of Microbubble Concentration and Acoustic Pressure for Left Ventricular High-Frame-Rate EchoPIV in Patients, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 10.1109/TUFFC.2021.3066082, 68:7, (2432-2443) Daae A, Wigen M, Fadnes S, Løvstakken L and Støylen A (2021) Intraventricular Vector Flow Imaging with Blood Speckle Tracking in Adults: Feasibility, Normal Physiology and Mechanisms in Healthy Volunteers, Ultrasound in Medicine & Biology, 10.1016/j.ultrasmedbio.2021.08.021, 47:12, (3501-3513), Online publication date: 1-Dec-2021. Zhang A, Pan M, Meng L, Zhang F, Zhou W, Zhang Y, Zheng R, Niu L and Zhang Y (2021) Ultrasonic biomechanics method for vortex and wall motion of left ventricle: a phantom and in vivo study, BMC Cardiovascular Disorders, 10.1186/s12872-021-02317-7, 21:1, Online publication date: 1-Dec-2021. Engelhard S, van Helvert M, Voorneveld J, Bosch J, Lajoinie G, Versluis M, Groot Jebbink E and Reijnen M (2021) US Velocimetry in Participants with Aortoiliac Occlusive Disease, Radiology, 10.1148/radiol.2021210454, 301:2, (332-338), Online publication date: 1-Nov-2021. Vos H, Voorneveld J, Groot Jebbink E, Leow C, Nie L, van den Bosch A, Tang M, Freear S and Bosch J (2020) Contrast-Enhanced High-Frame-Rate Ultrasound Imaging of Flow Patterns in Cardiac Chambers and Deep Vessels, Ultrasound in Medicine & Biology, 10.1016/j.ultrasmedbio.2020.07.022, 46:11, (2875-2890), Online publication date: 1-Nov-2020. Voorneveld J, Saaid H, Schinkel C, Radeljic N, Lippe B, Gijsen F, van der Steen A, de Jong N, Claessens T, Vos H, Kenjeres S and Bosch J (2020) 4-D Echo-Particle Image Velocimetry in a Left Ventricular Phantom, Ultrasound in Medicine & Biology, 10.1016/j.ultrasmedbio.2019.11.020, 46:3, (805-817), Online publication date: 1-Mar-2020. Engelhard S, van de Velde L, Jebbink E, Jain K, Westenberg J, Zeebregts C, Versluis M and Reijnen M (2021) Blood Flow Quantification in Peripheral Arterial Disease: Emerging Diagnostic Techniques in Vascular Surgery, Surgical Technology Online, 10.52198/21.STI.38.CV1410 Carvalho V, Gonçalves I, Souza A, Souza M, Bento D, Ribeiro J, Lima R and Pinho D (2021) Manual and Automatic Image Analysis Segmentation Methods for Blood Flow Studies in Microchannels, Micromachines, 10.3390/mi12030317, 12:3, (317) April 2019Vol 12, Issue 4 Advertisement Article InformationMetrics © 2019 American Heart Association, Inc.https://doi.org/10.1161/CIRCIMAGING.119.008856PMID: 30939921 Originally publishedApril 3, 2019 Keywordsventricular functionhumansblood flow velocityheart failureechocardiographyPDF download Advertisement SubjectsCardiomyopathyHeart Failure
Referência(s)