Effect of inlet velocity profiles on patient-specific computational fluid dynamics simulations of the carotid bifurcation

Journal of Biomechanical Engineering

Volumn 134, Issue 5, 2012, Pages

  Campbell, Ian C ^a   Ries, Jared ^a   Dhawan, Saurabh S ^b   Quyyumi, Arshed A ^b   Taylor, W Robert ^a,b,c   Oshinski, John N ^a,d  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c ATLANTA VA MEDICAL CENTER   (United States)

^d EMORY UNIVERSITY   (United States)

Author keywords

biomechanics

Indexed keywords

AXIAL PROFILES; BLOOD FLOW; CAROTID BIFURCATION; CFD ANALYSIS; COMPUTATIONAL FLUID DYNAMICS SIMULATIONS; CORRELATION COEFFICIENT; DISEASE PROCESS; FLOW WAVEFORMS; GEOMETRY RECONSTRUCTION; HIGH RESOLUTION; IMAGING TECHNOLOGY; INLET VELOCITY; INLET VELOCITY PROFILE; INTERNAL CAROTID ARTERY; OSCILLATORY SHEAR INDEX; PARABOLIC VELOCITY PROFILE; REFERENCE STANDARD; SUBJECT-SPECIFIC; VELOCITY PROFILES; VESSEL GEOMETRY; WALL SHEAR STRESS; WAVE FORMS; WOMERSLEY FLOW;

BIOMECHANICS; FLOW RATE; GEOMETRY; HEMODYNAMICS; INLET FLOW; MEDICAL IMAGING; VELOCITY;

COMPUTATIONAL FLUID DYNAMICS;

ADULT; ARTICLE; BLOOD FLOW; BLOOD FLOW VELOCITY; CAROTID ARTERY BIFURCATION; COMMON CAROTID ARTERY; COMPUTATIONAL FLUID DYNAMICS; HUMAN; INTERNAL CAROTID ARTERY; MAGNETIC RESONANCE ANGIOGRAPHY; NORMAL HUMAN; OSCILLATION; SHEAR STRESS; WAVEFORM; AUDIOVISUAL EQUIPMENT; CAROTID ARTERY; COMPUTER SIMULATION; HEMODYNAMICS; HISTOLOGY; HYDRODYNAMICS; MECHANICAL STRESS; MIDDLE AGED; PHYSIOLOGY; PULSATILE FLOW; RADIOGRAPHY;

CAROTID ARTERIES; COMPUTER SIMULATION; HEMODYNAMICS; HUMANS; HYDRODYNAMICS; MAGNETIC RESONANCE ANGIOGRAPHY; MIDDLE AGED; MODELS, ANATOMIC; PULSATILE FLOW; STRESS, MECHANICAL;

EID: 84863310538     PISSN: 01480731     EISSN: 15288951     Source Type: Journal    
DOI: 10.1115/1.4006681     Document Type: Article

References (30)

1. Ku, D. N., 1997, Blood Flow in Arteries., Annu. Rev. Fluid Mech., 29, pp. 399-434.
2. Ku, D. N., Giddens, D. P., Zarins, C. K., and Glagov, S., 1985, Pulsatile Flow and Atherosclerosis in the Human Carotid Bifurcation. Positive Correlation Between Plaque Location and Low Oscillating Shear Stress., Arteriosclerosis, 5 (3), pp. 293-302. (Pubitemid 15098005)
3. Moore, J. A., Steinman, D. A., Prakash, S., Johnston, K. W., and Ethier, C. R., 1999, A Numerical Study of Blood Flow Patterns in Anatomically Realistic and Simplified End-to-Side Anastomoses., ASME J. Biomech. Eng., 121 (3), pp. 265-272. (Pubitemid 29318300)
4. Steinman, D. A., 2004, Image-Based Computational Fluid Dynamics: A New Paradigm for Monitoring Hemodynamics and Atherosclerosis., Curr. Drug Targets Cardiovasc. Haematol. Disord., 4 (2), pp. 183-197. (Pubitemid 38647479)
5. Wootton, D. M. and Ku, D. N., 1999, Fluid Mechanics of Vascular Systems, Diseases, and Thrombosis., Annu. Rev. Biomed. Eng., 1, pp. 299-329. (Pubitemid 129740014)
6. Lee, S. W. and Steinman, D. A., 2007, On the Relative Importance of Rheology for Image-Based CFD Models of the Carotid Bifurcation., ASME J. Biomech. Eng., 129 (2), pp. 273-278. (Pubitemid 46713627)
7. Lee, K. W. Wood, N. B. and Xu, X. Y., 2004, Ultrasound Image-Based Computer Model of a Common Carotid Artery With a Plaque., Med. Eng. Phys., 26 (10), pp. 823-840. (Pubitemid 39572909)
8. Steinman, D. A., 2002, Image-Based Computational Fluid Dynamics Modeling in Realistic Arterial Geometries., Ann. Biomed. Eng., 30 (4), pp. 483-497. (Pubitemid 34726336)
9. Augst, A. D., Barratt, D. C., Hughes, A. D., Thom, S. A., and Xu, X. Y., 2003, Various Issues Relating to Computational Fluid Dynamics Simulations of Carotid Bifurcation Flow Based on Models Reconstructed From Three-Dimensional Ultrasound Images., Proc. Inst. Mech. Eng., Part H: J. Eng. Med., 217 (5), pp. 393-403.
10. Wake, A. K., Oshinski, J. N., Tannenbaum, A. R., and Giddens, D. P., 2009, Choice of in vivo Versus Idealized Velocity Boundary Conditions Influences Physiologically Relevant Flow Patterns in a Subject-Specific Simulation of Flow in the Human Carotid Bifurcation., ASME J. Biomech. Eng., 131 (2), p. 021013.
11. Moyle, K. R., Antiga, L., and Steinman, D. A., 2006, Inlet Conditions for Image-Based CFD Models of the Carotid Bifurcation: Is It Reasonable to Assume Fully Developed Flow, ASME J. Biomech. Eng., 128 (3), pp. 371-379. (Pubitemid 43952057)
12. Steinman, D. A., Thomas, J. B., Ladak, H. M., Milner, J. S., Rutt, B. K., and Spence, J. D., 2002, Reconstruction of Carotid Bifurcation Hemodynamics and Wall Thickness Using Computational Fluid Dynamics and MRI., Magn. Reson. Med., 47 (1), pp. 149-159. (Pubitemid 34019704)
13. Milner, J. S., Moore, J. A., Rutt, B. K., and Steinman, D. A., 1998, Hemodynamics of Human Carotid Artery Bifurcations: Computational Studies With Models Reconstructed from Magnetic Resonance Imaging of Normal Subjects., J. Vasc. Surg., 28 (1), pp. 143-156. (Pubitemid 28347647)
14. Marzo, A. Singh, P. Reymond, P. Stergiopulos, N. Patel, U. and Hose, R., 2009, Influence of Inlet Boundary Conditions on the Local Haemodynamics of Intracranial Aneurysms., Comput. Methods Biomech. Biomed. Eng., 12 (4), pp. 431-44.
15. Myers, J. G., Moore, J. A., Ojha, M., Johnston, K. W., and Ethier, C. R., 2001, Factors Influencing Blood Flow Patterns in the Human Right Coronary Artery., Ann. Biomed. Eng., 29 (2), pp. 109-120. (Pubitemid 32330555)
16. Womersley, J. R., 1955, Method for the Calculation of Velocity, Rate of Flow and Viscous Drag in Arteries When the Pressure Gradient Is Known., J. Physiol. (London), 127 (3), pp. 553-563.
17. Heiberg, E., Sjogren, J., Ugander, M., Carlsson, M., Engblom, H., and Arheden, H., 2010, Design and Validation of Segment-Freely Available Software for Cardiovascular Image Analysis., BMC Med. Imaging, 10, p. 1.
18. Holdsworth, D. W., Norley, C. J., Frayne, R., Steinman, D. A., and Rutt, B. K., 1999, Characterization of Common Carotid Artery Blood-Flow Waveforms in Normal Human Subjects., Physiol. Meas., 20 (3), pp. 219-240. (Pubitemid 29399835)
19. Steinman, D. A., http://www.mie.utoronto.ca/labs/bsl/data/waveforms/cca. txt.
20. Marshall, I., Papathanasopoulou, P., and Wartolowska, K., 2004, Carotid Flow Rates and Flow Division at the Bifurcation in Healthy Volunteers., Physiol. Meas, 25 (3), pp. 691-697. (Pubitemid 38902006)
21. Wootton, D. M., Markou, C. P., Hanson, S. R., and Ku, D. N., 2001, A Mechanistic Model of Acute Platelet Accumulation in Thrombogenic Stenoses., Ann. Biomed. Eng., 29 (4), pp. 321-329. (Pubitemid 32485989)
22. www.vmtk.org.
23. Antiga, L. and Steinman, D. A., 2004, Robust and Objective Decomposition and Mapping of Bifurcating Vessels., IEEE Trans. Med. Imaging, 23 (6), pp. 704-713.
24. Shrout, P. E. and Fleiss, J. L., 1979, Intraclass Correlations: Uses in Assessing Rater Reliability., Psychol. Bull., 86 (2), pp. 420-428.
25. Suri, J. S., Pattichis, C. S., Li, C., Macione, J., Yang, Z., Fox, M. D., Wu, D., and Laxminarayan, S., 2005, Plaque Imaging Using Ultrasound, Magnetic Resonance and Computer Tomography: A Review., Stud. Health Technol. Inform., 113, pp. 1-25. Available at http://iospress.metapress.com/content/ ptvwr6mn2he5lwha/
26. Hoi, Y., Wasserman, B. A., Lakatta, E. G., and Steinman, D. A., 2010, Effect of Common Carotid Artery Inlet Length on Normal Carotid Bifurcation Hemodynamics., ASME J. Biomech. Eng., 132 (12), p. 121008.
27. He, X., Ku, D. N., and Moore, J. E., Jr., 1993, Simple Calculation of the Velocity Profiles for Pulsatile Flow in a Blood Vessel Using Mathematica., Ann. Biomed. Eng., 21 (1), pp. 45-9. (Pubitemid 23074716)
28. Hoi, Y., Wasserman, B. A., Lakatta, E. G., and Steinman, D. A., 2010, Carotid Bifurcation Hemodynamics in Older Adults: Effect of Measured Versus Assumed Flow Waveform., ASME J. Biomech. Eng., 132 (7), p. 071006.
29. Hager, A., Kaemmerer, H., Rapp-Bernhardt, U., Blücher, S., Rapp, K., Bernhardt, T. M., Galanski, M., and Hess, J., 2002, Diameters of the Thoracic Aorta Throughout Life as Measured With Helical Computed Tomography., J. Thorac. Cardiovasc. Surg., 123 (6), pp. 1060-1066.
30. Ford, M. D., Xie, Y. J., Wasserman, B. A., and Steinman, D. A., 2008, Is Flow in the Common Carotid Artery Fully Developed, Physiol. Meas., 29 (11), pp. 1335-1349.