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Rutkowski D, Medero R, Ruesink T, et al. Modeling Physiological Flow Variation in Fontan Models with 4d Flow Mri, Particle Image Velocimetry, and Arterial Spin Labeling. J Biomech Eng. 2019;doi: 10.1115/1.4045110.
Rutkowski, D., Medero, R., Ruesink, T., & Roldan-Alzate, A. (2019). Modeling Physiological Flow Variation in Fontan Models with 4d Flow Mri, Particle Image Velocimetry, and Arterial Spin Labeling. Journal of biomechanical engineering, . https://doi.org/10.1115/1.4045110
Rutkowski, David, et al. "Modeling Physiological Flow Variation in Fontan Models with 4d Flow Mri, Particle Image Velocimetry, and Arterial Spin Labeling." Journal of biomechanical engineering vol. (2019). doi: https://doi.org/10.1115/1.4045110
Rutkowski D, Medero R, Ruesink T, Roldan-Alzate A. Modeling Physiological Flow Variation in Fontan Models with 4d Flow Mri, Particle Image Velocimetry, and Arterial Spin Labeling. J Biomech Eng. 2019 Oct 01; doi: 10.1115/1.4045110. Epub 2019 Oct 01. PMID: 31596919; PMCID: PMC7104747.
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J Biomech Eng. 2019 Oct 01; doi: 10.1115/1.4045110. Epub 2019 Oct 01.

Modeling Physiological Flow Variation in Fontan Models with 4d Flow Mri, Particle Image Velocimetry, and Arterial Spin Labeling.

Journal of biomechanical engineering

David Rutkowski, Rafael Medero, Timothy Ruesink, Alejandro Roldan-Alzate

Affiliations

  1. Mechanical Engineering, University of Wisconsin - Madison, Madison, WI, United States; Radiology, University of Wisconsin - Madison, Madison, WI, United States.
  2. Mechanical Engineering, University of Wisconsin - Madison, Madison, WI, United States; Radiology, University of Wisconsin - Madison, Madison, WI, United States; Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States.

PMID: 31596919 PMCID: PMC7104747 DOI: 10.1115/1.4045110

Abstract

The Fontan procedure is a successful palliation for single ventricle defect. Yet, a number of complications still occur in Fontan patients due to abnormal blood flow dynamics, necessitating improved flow analysis and treatment methods. Phase-contrast magnetic resonance imaging (MRI) has emerged as a suitable method for such flow analysis. However, limitations on altering physiological blood flow conditions in the patient while in the MRI bore inhibit experimental investigation of a variety of factors that contribute to impaired cardiovascular health in these patients. Furthermore, resolution and flow regime limitations in phase contrast MRI pose a challenge for accurate and consistent flow characterization. In this study, patient-specific physical models were created based on nine Fontan geometries and MRI experiments mimicking low and high flow conditions, as well as steady and pulsatile flow, were conducted. Additionally, an optically transparent Fontan model was created for flow analyses using a particle image velocimetry (PIV) system, arterial spin labeling (ASL), and four-dimensional (4D) flow MRI. Differences, though non-statistically significant, were observed between flow conditions and between patient-specific models. Large between-model variation supported the need for further improvement for patient-specific modeling on each unique Fontan anatomical configuration. Furthermore, high resolution PIV and flow tracking ASL data provided flow information that was not obtainable with 4D flow MRI alone.

Copyright (c) 2019 by ASME.

References

  1. Magn Reson Med. 2008 Dec;60(6):1329-36 - PubMed
  2. J Am Coll Cardiol. 1998 Mar 1;31(3):668-73 - PubMed
  3. World J Radiol. 2010 Oct 28;2(10):384-98 - PubMed
  4. Circulation. 2008 Jan 1;117(1):85-92 - PubMed
  5. Heart. 2017 Nov;103(22):1806-1812 - PubMed
  6. Int J Numer Method Biomed Eng. 2012 May;28(5):513-27 - PubMed
  7. Pediatr Radiol. 2016 Oct;46(11):1507-19 - PubMed
  8. Radiology. 2013 Apr;267(1):67-75 - PubMed
  9. J Thorac Cardiovasc Surg. 2013 Sep;146(3):522-9 - PubMed
  10. Ann Biomed Eng. 2018 Jan;46(1):135-147 - PubMed
  11. J Biomech. 2019 May 9;88:95-103 - PubMed
  12. J Thorac Cardiovasc Surg. 2014 Oct;148(4):1481-9 - PubMed
  13. Heart. 2016 Feb;102(3):174-83 - PubMed
  14. J Thorac Cardiovasc Surg. 2012 May;143(5):1108-16 - PubMed
  15. Pediatr Cardiol. 2017 Aug;38(6):1206-1214 - PubMed
  16. J Magn Reson Imaging. 2014 May;39(5):1320-6 - PubMed
  17. Mayo Clin Proc. 1989 Dec;64(12):1489-97 - PubMed
  18. Ann Biomed Eng. 2018 Dec;46(12):2112-2122 - PubMed
  19. J Thorac Cardiovasc Surg. 1999 Apr;117(4):697-704 - PubMed
  20. J Magn Reson Imaging. 2019 Jun;49(6):1786-1799 - PubMed
  21. J Thorac Cardiovasc Surg. 2019 Aug;158(2):523-531.e1 - PubMed
  22. J Biomech Eng. 1996 Feb;118(1):74-82 - PubMed
  23. Eur J Cardiothorac Surg. 2011 Feb;39(2):206-12 - PubMed
  24. Diagn Interv Imaging. 2013 Dec;94(12):1211-23 - PubMed
  25. Ann Thorac Surg. 2004 Aug;78(2):697-9 - PubMed
  26. Pediatr Cardiol. 2006 Jul-Aug;27(4):519-22 - PubMed
  27. Heart. 2002 Jun;87(6):554-8 - PubMed
  28. Future Cardiol. 2012 Mar;8(2):271-84 - PubMed
  29. Am Heart J. 2017 Jul;189:184-192 - PubMed
  30. Am J Cardiol. 2016 Aug 1;118(3):453-62 - PubMed

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