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Magnetic resonance velocimetry in high-speed turbulent flows: sources of measurement errors and a new approach for higher accuracy

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Abstract

This study focuses on the measurement accuracy of Magnetic Resonance Velocimetry (MRV) in high-speed turbulent flows. One of the most prominent errors in MRV is the displacement error, which describes the misregistration of spatial coordinates and velocity components in moving fluids. Displacement errors are particularly critical for experiments with high flow velocity and high spatial resolution. The degree of displacement error also depends on the sequence structure of the MRV technique. In this study, two MRV sequence types are examined regarding their measurement capabilities in high-speed turbulent flows: a conventional MRV sequence based on the popular “4D FLOW” technique, and a newly developed sequence, named “SYNC SPI”. Compared to conventional MRV, SYNC SPI is designed for high measurement accuracy, and not for imaging speed, which limits its application to statistically stationary flows. Both sequence types are evaluated in a flow experiment with a converging–diverging nozzle. Time-averaged results are presented for velocities up to 12 m/s at the throat. Supported by Particle Imaging Velocimetry, it is shown that SYNC SPI is capable of acquiring accurate velocity data in these highly turbulent flows. In contrast, the data from the conventional MRV sequence exhibits substantial displacement errors with a maximum displacement of 21 mm. The long acquisition time is the main disadvantage of the SYNC SPI sequence. Therefore, it is examined if undersampling and non-linear reconstruction, known as Compressed Sensing, can be utilized to make data acquisition more efficient. In the presented measurements, Compressed Sensing is successfully applied to shorten the acquisition time by up to 70% with almost no reduction in measurement accuracy.

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References

  • Baek S, Lee S, Hwang W, Park JS (2019) Experimental and numerical investigation of the flow in a trailing edge ribbed internal cooling passage. J Turbomach 141(1):011–012

    Article  Google Scholar 

  • Bernstein MA, Shimakawa A, Pelc NJ (1992) Minimizing TE in moment-nulled or flow-encoded two-and three-dimensional gradient-echo imaging. J Magn Reson Imaging 2(5):583–588

    Article  Google Scholar 

  • Bruschewski M, Freudenhammer D, Buchenberg WB, Schiffer HP, Grundmann S (2016a) Estimation of the measurement uncertainty in magnetic resonance velocimetry based on statistical models. Exp Fluids 57(5):83

    Article  Google Scholar 

  • Bruschewski M, Scherhag C, Schiffer HP, Grundmann S (2016b) Influence of channel geometry and flow variables on cyclone cooling of turbine blades. J Turbomach 138(6):061,005–061,005

    Article  Google Scholar 

  • Bruschewski M, Kolkmannn H, John K, Grundmann S (2019) Phase-contrast single-point imaging with synchronized encoding: a more reliable technique for in vitro flow quantification. Magn Reson Med 81(5):2937–2946

    Article  Google Scholar 

  • Candes EJ, Romberg JK, Tao T (2006) Stable signal recovery from incomplete and inaccurate measurements. Commun Pure Appl Math J Issued Courant Inst Math Sci 59(8):1207–1223

    Article  MathSciNet  Google Scholar 

  • Ching DS, Elkins CJ, Eaton JK (2018) Investigation of geometric sensitivity of a non-axisymmetric bump: 3d mean velocity measurements. Exp Fluids 59(9):143

    Article  Google Scholar 

  • Donoho DL et al (2006) Compressed sensing. IEEE Trans Inf Theory 52(4):1289–1306

    Article  MathSciNet  Google Scholar 

  • Ehman RL, Felmlee JP (1990) Flow artifact reduction in MRI: a review of the roles of gradient moment nulling and spatial presaturation. Magn Reson Med 14(2):293–307

    Article  Google Scholar 

  • Elkins CJ, Alley MT (2007) Magnetic resonance velocimetry: applications of magnetic resonance imaging in the measurement of fluid motion. Exp Fluids 43(6):823–858

    Article  Google Scholar 

  • Elkins CJ, Alley MT, Saetran L, Eaton JK (2009) Three-dimensional magnetic resonance velocimetry measurements of turbulence quantities in complex flow. Exp Fluids 46(2):285–296

    Article  Google Scholar 

  • Freudenhammer D, Baum E, Peterson B, Böhm B, Jung B, Grundmann S (2014) Volumetric intake flow measurements of an IC engine using magnetic resonance velocimetry. Exp Fluids 55(5):1724

    Article  Google Scholar 

  • Grundmann S, Wassermann F, Lorenz R, Jung B, Tropea C (2012) Experimental investigation of helical structures in swirling flows. Int J Heat Fluid Flow 37:51–63

    Article  Google Scholar 

  • Holland DJ, Malioutov DM, Blake A, Sederman AJ, Gladden L (2010) Reducing data acquisition times in phase-encoded velocity imaging using compressed sensing. J Magn Reson 203(2):236–246

    Article  Google Scholar 

  • Jahangir S, Hogendoorn W, Poelma C (2018) Dynamics of partial cavitation in an axisymmetric converging–diverging nozzle. Int J Multiph Flow 106:34–45

    Article  Google Scholar 

  • Larson T 3rd, Kelly W, Ehman RL, Wehrli F (1990) Spatial misregistration of vascular flow during MR imaging of the CNS: cause and clinical significance. Am J Roentgenol 155(5):1117–1124

    Article  Google Scholar 

  • Layton KJ, Kroboth S, Jia F, Littin S, Yu H, Leupold J, Nielsen JF, Stöcker T, Zaitsev M (2017) Pulseq: a rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med 77(4):1544–1552

    Article  Google Scholar 

  • Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58(6):1182–1195

    Article  Google Scholar 

  • Lustig M, Donoho DL, Santos JM, Pauly JM (2008) Compressed sensing MRI. IEEE Signal Process Mag 25(2):72

    Article  Google Scholar 

  • Markl M, Frydrychowicz A, Kozerke S, Hope M, Wieben O (2012) 4D flow MRI. J Magn Reson Imaging 36(5):1015–1036

    Article  Google Scholar 

  • Nishimura DG, Jackson JI, Pauly JM (1991) On the nature and reduction of the displacement artifact in flow images. Magn Reson Med 22(2):481–492

    Article  Google Scholar 

  • Onstad AJ, Elkins CJ, Medina F, Wicker RB, Eaton JK (2011) Full-field measurements of flow through a scaled metal foam replica. Exp Fluids 50(6):1571–1585

    Article  Google Scholar 

  • Piro M, Wassermann F, Grundmann S, Leitch B, Tropea C (2016) Progress in on-going experimental and computational fluid dynamic investigations within a CANDU fuel channel. Nucl Eng Des 299:184–200

    Article  Google Scholar 

  • Untenberger M, Tan Z, Voit D, Joseph AA, Roeloffs V, Merboldt KD, Schätz S, Frahm J (2016) Advances in real-time phase-contrast flow MRI using asymmetric radial gradient echoes. Magn Reson Med 75(5):1901–1908

    Article  Google Scholar 

  • Wapler MC, Leupold J, Dragonu I, von Elverfeld D, Zaitsev M, Wallrabe U (2014) Magnetic properties of materials for MR engineering, micro-MR and beyond. J Magn Reson 242:233–242

    Article  Google Scholar 

  • Wassermann F, Hecker D, Jung B, Markl M, Seifert A, Grundmann S (2013) Phase-locked 3D3C-MRV measurements in a bi-stable fluidic oscillator. Exp Fluids 54(3):1487

    Article  Google Scholar 

  • Westerweel J, Scarano F (2005) Universal outlier detection for PIV data. Exp Fluids 39(6):1096–1100

    Article  Google Scholar 

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Correspondence to Martin Bruschewski.

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This work was supported by the Bundesministerium für Wirtschaft und Energie (BMWi) under Grant Number 20E1708 and ERC Consolidator Grant 725183 ‘OpaqueFlows’.

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John, K., Jahangir, S., Gawandalkar, U. et al. Magnetic resonance velocimetry in high-speed turbulent flows: sources of measurement errors and a new approach for higher accuracy. Exp Fluids 61, 27 (2020). https://doi.org/10.1007/s00348-019-2849-4

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  • DOI: https://doi.org/10.1007/s00348-019-2849-4

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