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BioMed Research International
Volume 2017, Article ID 7087086, 8 pages
https://doi.org/10.1155/2017/7087086
Research Article

Direct Assessment of Wall Shear Stress by Signal Intensity Gradient from Time-of-Flight Magnetic Resonance Angiography

1Research Institute of Clinical Medicine, Chonbuk National University, Biomedical Research Institute of Chonbuk National University Hospital, Jeonju, Jeonbuk 54907, Republic of Korea
2Equipment Qualification Center for Nuclear Power Plants, Korea Institute of Machinery and Materials, Daejeon 34103, Republic of Korea
3Department of Neurology, Chonbuk National University Medical School and Hospital, Jeonju, Jeonbuk 54907, Republic of Korea
4Pixoneer Geomatics, Inc., Daejeon 34126, Republic of Korea
5Department of Radiology, Chonbuk National University Medical School and Hospital, Jeonju, Jeonbuk 54907, Republic of Korea
6Department of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, PA 19104, USA

Correspondence should be addressed to Seul-Ki Jeong; rk.ca.unbj@ksgnoej

Received 8 March 2017; Revised 30 June 2017; Accepted 12 July 2017; Published 16 August 2017

Academic Editor: Dobrin Vassilev

Copyright © 2017 Kap-Soo Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. MacMahon, R. Peto, J. Cutler et al., “Blood pressure, stroke, and coronary heart disease—part 1, prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias,” The Lancet, vol. 335, no. 8692, pp. 765–774, 1990. View at Publisher · View at Google Scholar · View at Scopus
  2. A. M. Malek, S. L. Alper, and S. Izumo, “Hemodynamic shear stress and its role in atherosclerosis,” The Journal of the American Medical Association, vol. 282, no. 21, pp. 2035–2042, 1999. View at Publisher · View at Google Scholar · View at Scopus
  3. W. S. Nesbitt, E. Westein, F. J. Tovar-Lopez et al., “A shear gradient-dependent platelet aggregation mechanism drives thrombus formation,” Nature Medicine, vol. 15, no. 6, pp. 665–673, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Gnasso, C. Carallo, C. Irace et al., “Association between intima-media thickness and wall shear stress in common carotid arteries in healthy male subjects,” Circulation, vol. 94, no. 12, pp. 3257–3262, 1996. View at Publisher · View at Google Scholar · View at Scopus
  5. D. A. Steinman, “Image-based computational fluid dynamics modeling in realistic arterial geometries,” Annals of Biomedical Engineering, vol. 30, no. 4, pp. 483–497, 2002. View at Publisher · View at Google Scholar · View at Scopus
  6. U. Khler, I. Marshall, M. B. Robertson, Q. Long, X. Y. Xu, and P. R. Hoskins, “MRI measurement of wall shear stress vectors in bifurcation models and comparison with CFD predictions,” Journal of Magnetic Resonance Imaging, vol. 14, no. 5, pp. 563–573, 2001. View at Publisher · View at Google Scholar · View at Scopus
  7. J. B. Thomas, J. S. Milner, B. K. Rutt, and D. A. Steinman, “Reproducibility of image-based computational fluid dynamics models of the human carotid bifurcation,” Annals of Biomedical Engineering, vol. 31, no. 2, pp. 132–141, 2003. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Markl, F. Wegent, T. Zech et al., “In vivo wall shear stress distribution in the carotid artery effect of bifurcation eometry, internal carotid artery stenosis, and recanalization therapy,” Circulation: Cardiovascular Imaging, vol. 3, no. 6, pp. 647–655, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. L. Boussel, V. Rayz, A. Martin et al., “Phase-contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: Comparison with computational fluid dynamics,” Magnetic Resonance in Medicine, vol. 61, no. 2, pp. 409–417, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Jeong, S. Lee, S. Park, K. Han, and G. Chung, “Direct assessment of wall shear stress by signal intensity gradient from time-of-flight magnetic resonance angiography,” Journal of the Neurological Sciences, vol. 357, article e63, 2015. View at Publisher · View at Google Scholar
  11. E. M. Haacke, T. J. Masaryk, P. A. Wielopolski et al., “Optimizing blood vessel contrast in fast three‐dimensional MRI,” Magnetic Resonance in Medicine, vol. 14, no. 2, pp. 202–221, 1990. View at Publisher · View at Google Scholar · View at Scopus
  12. S.-K. Jeong and R. S. Rosenson, “Shear rate specific blood viscosity and shear stress of carotid artery duplex ultrasonography in patients with lacunar infarction,” BMC Neurology, vol. 13, article 36, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. S. H. Lee, S. Kang, N. Hur, and S.-K. Jeong, “A fluid-structure interaction analysis on hemodynamics in carotid artery based on patient-specific clinical data,” Journal of Mechanical Science and Technology, vol. 26, no. 12, pp. 3821–3831, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. L. Axel, B. S. E. E. Ann Shimakawa, and J. MacFall, “A time-of-flight method of measuring flow velocity by magnetic resonance imaging,” Magnetic Resonance Imaging, vol. 4, no. 3, pp. 199–205, 1986. View at Publisher · View at Google Scholar · View at Scopus
  15. T. Matsuda, K. Shimizu, T. Sakurai et al., “Measurement of aortic blood flow with MR imaging: comparative study with Doppler US,” Radiology, vol. 162, no. 3, pp. 857–861, 1987. View at Publisher · View at Google Scholar · View at Scopus
  16. R. R. Edelman, H. P. Mattle, J. Kleefield, and M. S. Silver, “Quantification of blood flow with dynamic MR imaging and presaturation bolus tracking,” Radiology, vol. 171, no. 2, pp. 551–556, 1989. View at Publisher · View at Google Scholar · View at Scopus
  17. H. Mattle, R. R. Edelman, K. U. Wentz, M. A. Reis, D. J. Atkinson, and T. Ellert, “Middle cerebral artery: Determination of flow velocities with MR angiography,” Radiology, vol. 181, no. 2, pp. 527–530, 1991. View at Publisher · View at Google Scholar · View at Scopus
  18. S. E. Kim and D. L. Parker, “Time-of-flight angiography,” in Magnetic Resonance Angiography: Principles and Applications, J. C. Carr and T. J. Carroll, Eds., pp. 39–50, Springer-Verlag, New York, NY, USA, 2012. View at Publisher · View at Google Scholar
  19. R. M. Hoogeveen, C. J. G. Bakker, and M. A. Viergever, “Limits to the accuracy of vessel diameter measurement in MR angiography,” Journal of Magnetic Resonance Imaging, vol. 8, no. 6, pp. 1228–1235, 1998. View at Publisher · View at Google Scholar · View at Scopus
  20. D. L. Parker, C. Yuan, and D. D. Blatter, “MR angiography by multiple thin slab 3D acquisition,” Magnetic Resonance in Medicine, vol. 17, no. 2, pp. 434–451, 1991. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Atkinson, M. Brant-Zawadzki, G. Gillan, D. Purdy, and G. Laub, “Improved MR angiography: magnetization transfer suppression with variable flip angle excitation and increased resolution,” Radiology, vol. 190, no. 3, pp. 892–894, 1994. View at Publisher · View at Google Scholar · View at Scopus
  22. E. Cecchi, C. Giglioli, S. Valente et al., “Role of hemodynamic shear stress in cardiovascular disease,” Atherosclerosis, vol. 214, no. 2, pp. 249–256, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. A. Harloff, A. Nußbaumer, S. Bauer et al., “In vivo assessment of wall shear stress in the atherosclerotic aorta using flow-sensitive 4D MRI,” Magnetic Resonance in Medicine, vol. 63, no. 6, pp. 1529–1536, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. A. F. Stalder, M. F. Russe, A. Frydrychowicz, J. Bock, J. Hennig, and M. Markl, “Quantitative 2D and 3D phase contrast MRI: optimized analysis of blood flow and vessel wall parameters,” Magnetic Resonance in Medicine, vol. 60, no. 5, pp. 1218–1231, 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. T. Gu, F. R. Korosec, W. F. Block et al., “PC VIPR: a high-speed 3D phase-contrast method for flow quantification and high-resolution angiography,” American Journal of Neuroradiology, vol. 26, pp. 743–749, 2005. View at Google Scholar
  26. S. Yamashita, H. Isoda, M. Hirano et al., “Visualization of hemodynamics in intracranial arteries using time-resolved three-dimensional phase-contrast MRI,” Journal of Magnetic Resonance Imaging, vol. 25, no. 3, pp. 473–478, 2007. View at Publisher · View at Google Scholar · View at Scopus