Cerebral blood flow in a healthy circle of willis and two intracranial aneurysms: Computational fluid dynamics versus four-dimensional phase-contrast magnetic resonance imaging

Journal of Biomechanical Engineering

Volumn 136, Issue 4, 2014, Pages

  Berg, Philipp ^a   Stucht, Daniel ^a   Janiga, Gábor ^a   Beuing, Oliver ^b   Speck, Oliver ^a,c   Thévenin, Dominique ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY HOSPITAL MAGDEBURG   (Germany)

^c LEIBNIZ INSTITUTE FOR NEUROBIOLOGY   (Germany)

Author keywords

7 T phase contrast MR imaging; computational fluid dynamics; intracranial aneurysm; validation

Indexed keywords

BLOOD VESSELS; BOUNDARY CONDITIONS; MAGNETIC RESONANCE IMAGING; THREE DIMENSIONAL; VELOCITY;

HUMAN VASCULAR SYSTEMS; INTRACRANIAL ANEURYSMS; MR IMAGING; PHASE CONTRAST MAGNETIC RESONANCE IMAGING; TEMPORAL AND SPATIAL; THREE-DIMENSIONAL (3D) MODEL; VALIDATION; VESSEL RECONSTRUCTION;

COMPUTATIONAL FLUID DYNAMICS;

CONTRAST MEDIUM;

ADULT; ALGORITHM; ANGULAR SIMILARITY INDEX; ANTERIOR COMMUNICATING ARTERY ANEURYSM; ARTICLE; BLOOD FLOW VELOCITY; BLOOD FLOWMETRY; BRAIN ARTERY ANEURYSM RUPTURE; BRAIN BLOOD FLOW; BRAIN CIRCULUS ARTERIOSUS; CASE REPORT; COMPUTATIONAL FLUID DYNAMICS; COMPUTER PROGRAM; COMPUTER SIMULATION; CONTROLLED STUDY; DIASTOLIC BLOOD PRESSURE; FEMALE; FOUR DIMENSIONAL PHASE CONTRAST MAGNETIC RESONANCE; GEOMETRY; HEART CYCLE; HEMODYNAMIC PARAMETERS; HUMAN; IMAGE QUALITY; INTERMETHOD COMPARISON; INTRACRANIAL ANEURYSM; MAGNITUDE SIMILARITY INDEX; MALE; MIDDLE AGED; MIDDLE CEREBRAL ARTERY ANEURYSM; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRESSURE IMPLICIT ALGORITHM; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SYSTOLIC BLOOD PRESSURE; VASCULAR EQUIPMENT; BIOLOGICAL MODEL; BRAIN CIRCULATION; HYDRODYNAMICS; PATHOPHYSIOLOGY; PROCEDURES; THREE DIMENSIONAL IMAGING;

CEREBROVASCULAR CIRCULATION; CIRCLE OF WILLIS; COMPUTER SIMULATION; FEMALE; HUMANS; HYDRODYNAMICS; IMAGING, THREE-DIMENSIONAL; INTRACRANIAL ANEURYSM; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, BIOLOGICAL;

EID: 84896913446     PISSN: 01480731     EISSN: 15288951     Source Type: Journal    
DOI: 10.1115/1.4026108     Document Type: Article

References (43)

1. Cebral, J. R., Mut, F., Weir, J., and Putman, C., 2011, "Quantitative Characterization of the Hemodynamic Environment in Ruptured and Unruptured Brain Aneurysms," Am. J. Neuroradiol., 32(1), pp. 145-151.
2. Zuleger, D. I., Poulikakos, D., Valavanis, A., and Kollias, S. S., 2010, "Combining Magnetic Resonance Measurements With Numerical Simulations-Extracting Blood Flow Physiology Information Relevant to the Investigation of Intracranial Aneurysms in the Circle of Willis," Int. J. Heat Fluid, 31(6), pp. 1032-1039.
3. Castro, M. A., Putman, C. M., and Cebral, J. R., 2006, "Computational Fluid Dynamics Modeling of Intracranial Aneurysms: Effects of Parent Artery Segmentation on Intra-Aneurysmal Hemodynamics," Am. J. Neuroradiol., 27(8), pp. 1703-1709. (Pubitemid 44413554)
4. Sforza, D. M., Putman, C. M., and Cebral, J. R., 2009, "Hemodynamics of Cerebral Aneurysms," Annu. Rev. Fluid Mech., 41, pp. 91-107.
5. Meng, H., Wang, Z. J., Hoi, Y., Gao, L., Metaxa, E., Swartz, D. D., and Kolega, J., 2007, "Complex Hemodynamics at the Apex of an Arterial Bifurcation Induces Vascular Remodeling Resembling Cerebral Aneurysm Initiation," Stroke, 38(6), pp. 1924-1931. (Pubitemid 46847270)
6. Neugebauer, M., Janiga, G., Beuing, O., Skalej, M., and Preim, B., 2010, "Computer-Aided Modelling of Blood Flow for the Treatment of Cerebral Aneurysms," Int. J. Biomed. Eng. Tech., 55, pp. 37-41.
7. Marzo, A., Singh, P., Larrabide, I., Radaelli, A., Coley, S., Gwilliam, M., Wilkinson, I. D., Lawford, P., Reymond, P., Patel, U., Frangi, A., and Hose, D. R., 2011, "Computational Hemodynamics in Cerebral Aneurysms: The Effects of Modeled Versus Measured Boundary Conditions," Ann. Biomed. Eng., 39(2), pp. 884-896.
8. Fiorella, D., Sadasivan, C., Woo, H. H., and Lieber, B., 2011, "Regarding 'Aneurysm Rupture Following Treatment With Flow-Diverting Stents: Computational Hemodynamics Analysis of Treatment'," Am. J. Neuroradiol., 32(5), pp. E95-97; author reply E98-100.
9. Kallmes, D. F., 2012, "Point: CFD-Computational Fluid Dynamics or Confounding Factor Dissemination," Am. J. Neuroradiol., 33(3), pp. 395-396.
10. Bord-as, R., Seshadhri, S., Janiga, G., Skalej, M., and Th-evenin, D., 2012, "Experimental Validation of Numerical Simulations on a Cerebral Aneurysm Phantom Model," Interv. Med. Appl. Sci., 4(4), pp. 193-205.
11. Ford, M. D., Nikolov, H. N., Milner, J. S., Lownie, S. P., Demont, E. M., Kalata, W., Loth, F., Holdsworth, D. W., and Steinman, D. A., 2008, "PIVMeasured Versus CFD-Predicted Flow Dynamics in Anatomically Realistic Cerebral Aneurysm Models," ASME J. Biomech. Eng., 130(2), p. 021015.
12. Hoi, Y., Woodward, S. H., Kim, M., Taulbee, D. B., and Meng, H., 2006, "Validation of CFD Simulations of Cerebral Aneurysms With Implication of Geometric Variations," ASME J. Biomech. Eng., 128(6), pp. 844-851. (Pubitemid 46144914)
13. Rayz, V. L., Boussel, L., Acevedo-Bolton, G., Martin, A. J., Young, W. L., Lawton, M. T., Higashida, R., and Saloner, D., 2008, "Numerical Simulations of Flow in Cerebral Aneurysms: Comparison of CFD Results and In Vivo MRI Measurements," ASME J. Biomech. Eng., 130(5), p. 051011.
14. Hollnagel, D. I., Summers, P. E., Poulikakos, D., and Kollias, S. S., 2009, "Comparative Velocity Investigations in Cerebral Arteries and Aneurysms: 3D Phase-Contrast MR Angiography, Laser Doppler Velocimetry and Computational Fluid Dynamics," NMR Biomed., 22(8), pp. 795-808.
15. Boussel, L., Rayz, V., Martin, A., Acevedo-Bolton, G., Lawton, M. T., Higashida, R., Smith, W. S., Young, W. L., and Saloner, D., 2009, "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," Magn. Reson. Med., 61(2), pp. 409-417.
16. Karmonik, C., Klucznik, R., and Benndorf, G., 2008, "Blood Flow in Cerebral Aneurysms: Comparison of Phase Contrast Magnetic Resonance and Computational Fluid Dynamics-Preliminary Experience," RoFo: Fort. Gebiete Rontgenstrahlen Nuklearmedizin, 180(3), pp. 209-215. (Pubitemid 351985193)
17. Jiang, J., Johnson, K., Valen-Sendstad, K., Mardal, K. A., Wieben, O., and Strother, C., 2011, "Flow Characteristics in a Canine Aneurysm Model: A Comparison of 4D Accelerated Phase-Contrast MR Measurements and Computational Fluid Dynamics Simulations," Med. Phys., 38(11), pp. 6300-6312.
18. Naito, T., Miyachi, S., Matsubara, N., Isoda, H., Izumi, T., Haraguchi, K., Takahashi, I., Ishii, K., and Wakabayashi, T., 2012, "Magnetic Resonance Fluid Dynamics for Intracranial Aneurysms-Comparison With Computed Fluid Dynamics," Acta Neurochir. (Wien), 154(6), pp. 993-1001.
19. Isoda, H., Ohkura, Y., Kosugi, T., Hirano, M., Alley, M. T., Bammer, R., Pelc, N. J., Namba, H., and Sakahara, H., 2010, "Comparison of Hemodynamics of Intracranial Aneurysms Between MR Fluid Dynamics Using 3D Cine Phase-Contrast MRI and MR-Based Computational Fluid Dynamics," Neuroradiology, 52(10), pp. 913-920.
20. van Ooij, P., Schneiders, J., Marquering, H., Majoie, C. B., van Bavel, E., and Nederveen, A., 2012, "4D Phase Contrast MRI in Intracranial Aneurysms: A Comparison With Patient-Specific Computational Fluid Dynamics With Temporal and Spatial Velocity Boundary Conditions as Measured With 3D Phase Contrast MRI," J. Cardiovasc. Magn. Reson., 14(Suppl 1), p. W3.
21. Lee, A. T., Pike, G. B., and Pelc, N. J., 1995, "Three-Point Phase-Contrast Velocity Measurements With Increased Velocity-to-Noise Ratio," Magn. Reson. Med., 33(1), pp. 122-126.
22. Pelc, N. J., Herfkens, R. J., Shimakawa, A., and Enzmann, D. R., 1991, "Phase Contrast Cine Magnetic Resonance Imaging," Magn. Reson. Q., 7(4), pp. 229-254.
23. Monninghoff, C., Maderwald, S., Theysohn, J. M., Kraff, O., Ladd, S. C., Ladd, M. E., Forsting, M., Quick, H. H., and Wanke, I., 2009, "Evaluation of Intracranial Aneurysms With 7 T Versus 1.5 T Time-of-Flight MR Angiography-Initial Experience," RoFo: Fort. Gebiete Rontgenstrahlen Nuklearmedizin, 181(1), pp. 16-23.
24. Stamm, A. C., Wright, C. L., Knopp, M. V., Schmalbrock, P., and Heverhagen, J. T., 2012, "Phase Contrast and Time-of-Flight Magnetic Resonance Angiography of the Intracerebral Arteries at 1.5, 3 and 7 T," Magn. Reson. Imaging, 31(4), pp. 545-549.
25. van Ooij, P., Zwanenburg, J. J., Visser, F., Majoie, C. B., vanBavel, E., Hendrikse, J., and Nederveen, A. J., 2013, "Quantification and Visualization of Flow in the Circle of Willis: Time-Resolved Three-Dimensional Phase Contrast MRI at 7 T Compared With 3 T," Magn. Reson. Med., 69(3), pp. 868-876.
26. Anor, T., Grinberg, L., Baek, H., Madsen, J. R., Jayaraman, M. V., and Karniadakis, G. E., 2010, "Modeling of Blood Flow in Arterial Trees," WIREs Syst. Biol. Med., 2(5), pp. 612-623.
27. Markl, M., Chan, F. P., Alley, M. T., Wedding, K. L., Draney, M. T., Elkins, C. J., Parker, D. W., Wicker, R., Taylor, C. A., Herfkens, R. J., and Pelc, N. J., 2003, "Time-Resolved Three-Dimensional Phase-Contrast MRI," J. Magn. Reson. Imaging, 17(4), pp. 499-506. (Pubitemid 36396955)
28. Markl, M., Harloff, A., Bley, T. A., Zaitsev, M., Jung, B., Weigang, E., Langer, M., Hennig, J., and Frydrychowicz, A., 2007, "Time-Resolved 3D MR Velocity Mapping at 3 T: Improved Navigator-Gated Assessment of Vascular Anatomy and Blood Flow," J. Magn. Reson. Imaging, 25(4), pp. 824-831. (Pubitemid 46516736)
29. Bock, J., Kreher, B. W., Hennig, J., and Markl, M., 2007, "Optimized Pre-Processing of Time-Resolved 2D and 3D Phase Contrast MRI Data," Proceedings of the 15th Scientific Meeting. International Society for Magnetic Resonance in Medicine, Berlin, Germany, p. 3138.
30. Monch, T., Gasteiger, R., Janiga, G., Theisel, H., and Preim, B., 2011, "Context-Aware Mesh Smoothing for Biomedical Applications," Comput. Graphics, 35, pp. 755-767.
31. Neugebauer, M., Lawonn, K., Beuing, O., and Preim, B., 2013, "Automatic Generation of Anatomic Characteristics From Cerebral Aneurysm Surface Models," Int. J. Comput. Assist. Radiol. Surg., 8(2), pp. 279-289.
32. Berg, P., Janiga, G., and Th-evenin, D., 2012, "Detailed Comparison of Numerical Flow Predictions in Cerebral Aneurysms Using Different CFD Software," Conference on Modelling Fluid Flow, J. Vad, Ed., Budapest, Hungary, pp. 128-135.
33. Janiga, G., Berg, P., Beuing, O., Neugebauer, M., Gasteiger, R., Preim, B., Rose, G., Skalej, M., and Th-evenin, D., 2013, "Recommendations for Accurate Numerical Blood Flow Simulations of Stented Intracranial Aneurysms," Biomed. Eng., 58(3), pp. 303-314.
34. Stalder, A. F., Russe, M. F., Frydrychowicz, A., Bock, J., Hennig, J., and Markl, M., 2008, "Quantitative 2D and 3D Phase Contrast MRI: Optimized Analysis of Blood Flow and Vessel Wall Parameters," Magn. Reson. Med., 60(5), pp. 1218-1231.
35. Pereira, V. M., Brina, O., Marcos Gonzales, A., Narata, A. P., Bijlenga, P., Schaller, K., Lovblad, K. O., and Ouared, R., 2013, "Evaluation of the Influence of Inlet Boundary Conditions on Computational Fluid Dynamics for Intracranial Aneurysms: A Virtual Experiment," J. Biomech., 46(9), pp. 1531-1539.
36. Rayz, V. L., and Berger, S. A., 2010, "Computational Modeling of Vascular Hemodynamics," Computational Modeling in Biomechanics, S. De, F. Guilak, and M. Mofrad, Eds., Springer, Berlin, pp. 171-206.
37. Alastruey, J., Parker, K. H., Peiro, J., Byrd, S. M., and Sherwin, S. J., 2007, "Modelling the Circle ofWillis to Assess the Effects of Anatomical Variations and Occlusions on Cerebral Flows," J. Biomech., 40(8), pp. 1794-1805. (Pubitemid 46702138)
38. Li, H. Y., and Shen, I. F., 2006, "Similarity Measure for Vector Field Learning," Lect. Notes Comput. Sci., 3971, pp. 436-441.
39. Raschi, M., Mut, F., Byrne, G., Putman, C. M., Tateshima, S., Vinuela, F., Tanoue, T., Tanishita, K., and Cebral, J. R., 2012, "CFD and PIV Analysis of Hemodynamics in a Growing Intracranial Aneurysm," Int. J. Numer. Method. Biomed. Eng., 28(2), pp. 214-228.
40. Zaitsev, M., Dold, C., Sakas, G., Hennig, J., and Speck, O., 2006, "Magnetic Resonance Imaging of Freely Moving Objects: Prospective Real-Time Motion Correction Using an External Optical Motion Tracking System," NeuroImage, 31(3), pp. 1038-1050. (Pubitemid 43851344)
41. Bammer, R., Hope, T. A., Aksoy, M., and Alley, M. T., 2007, "Time-Resolved 3D Quantitative Flow MRI of the Major Intracranial Vessels: Initial Experience and Comparative Evaluation at 1.5 T and 3.0 T in Combination With Parallel Imaging," Magn. Reson. Med., 57(1), pp. 127-140. (Pubitemid 46075031)
42. Valencia, A., Ledermann, D., Rivera, R., Bravo, E., and Galvez, M., 2008, "Blood Flow Dynamics and Fluid-Structure Interaction in Patient-Specific Bifurcating Cerebral Aneurysms," Int. J. Numer. Methods Fluids, 58(10), pp. 1081-1100.
43. Ebbers, T., and Farneback, G., 2009, "Improving Computation of Cardiovascular Relative Pressure Fields From Velocity MRI," J. Magn. Reson. Imaging, 30(1), pp. 54-61.