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• Technical Article •
Hemodynamic parameters comparison between 4D Flow MRI and computational fluid dynamics for intracranial aneurysms
CHEN Yu  ZHANG Yu  ZHOU Ze-chen  LIU Ai-hua  LIU Peng  LI Rui 

DOI:10.12015/issn.1674-8034.2016.08.011.


[Abstract] Objective: To compare the results of 4D Flow MRI and computational fluid dynamics (CFD).Materials and Methods: In this study, 4 patients with intracranial aneurysms (IA) were selected, all of whom underwent both 4D Flow MRI scan and CFD simulation. Two sets of velocity data were analyzed and compared. 3D pathlines were calculated and visualized based on velocity data. Mean velocity profiles at IAs' neck contour were obtained and normalized root mean squared error(NRMSE) as well as R-squared(R2) value were calculated and compared. At last, velocity distribution on maximum cross section slice were demonstrated.Results: This study shows 3D pathlines of 4D Flow MRI and CFD look similar to each other. Average velocity on IA’s neck contour are consistent. NRMSE values are 0.08992(0.10208, 0.10270, 0.04242, 0.11248). R2 values are 0.95958(0.9735, 0.9316, 0.9920, 0.9412). In maximum cross setion of IA, velocity distributions demonstrate similar features in general.Conclusion: There exists a strong linear correlation between 4D Flow MRI measurement and CFD simulation, but also some disagreements in detail. It’s necessary to undertake in vitro phantom experiments to investigate in detail.
[Keywords] Intracranial aneurysm；Hemodynamics；Magnetic resonance imaging；4D Flow MRI；Computational fluid dynamics

CHEN Yu Center for Biomedical Imaging Reseach, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

ZHANG Yu Medical Center, Tsinghua University, Beijing 100084, China

ZHOU Ze-chen Center for Biomedical Imaging Reseach, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

LIU Ai-hua Department of Neurosurgery, Beijing Tiantan Hospital, Captical Medical University, Beijing 100050, China

LIU Peng Department of Neurosurgery, Beijing Tiantan Hospital, Captical Medical University, Beijing 100050, China

LI Rui* Center for Biomedical Imaging Reseach, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

*Correspondence to: Li R, E-mail: leerui@tsinghua.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Beijing science and technology project No. Z131100005213001 2015 annual independent research funding project of Tsinghua University No. 20141081265
Received  2016-05-09
Accepted  2016-07-30
DOI: 10.12015/issn.1674-8034.2016.08.011
DOI:10.12015/issn.1674-8034.2016.08.011.

[1]
Rinkel GJE, Djibuti M, Algra A, et al. Prevalence and risk of rupture of intracranial aneurysms a systematic review. Stroke, 1998, 29(1): 251-256.
[2]
DiMaio D, DiMaio VJM. Forensic pathology. London: CRC press, 2001: 61.
[3]
Schievink WI. Intracranial aneurysms. New England Journal of Medicine, 1997, 336(1): 28-40.
[4]
Dhar S, Tremmel M, Mocco J, et al. Morphology parameters for intracranial aneurysm rupture risk assessment. Neurosurgery, 2008, 63(2): 185.
[5]
Chalouhi N, Ali MS, Jabbour PM, et al. Biology of intracranial aneurysms: role of inflammation. Journal of Cerebral Blood Flow & Metabolism, 2012, 32(9): 1659-1676.
[6]
Miura Y, Ishida F, Umeda Y, et al. Low wall shear stress is independently associated with the rupture status of middle cerebral artery aneurysms. Stroke, 2013, 44(2): 519-521.
[7]
杜联军．相位对比法磁共振血流定量测定的原理和临床应用．国际医学放射学杂志, 2003, 26(4): 267-270.
[8]
Markl M, Frydrychowicz A, Kozerke S, et al. 4D Flow MRI. Journal of Magnetic Resonance Imaging, 2012, 36(5): 1015-1036.
[9]
Markl M, Chan FP, Alley MT, et al. Time-resolved three-dimensional phase-contrast MRI. Journal of Magnetic Resonance Imaging, 2003, 17(4): 499-506.
[10]
Wetzel S, Meckel S, Frydrychowicz A, et al. In vivo assessment and visualization of intracranial arterial hemodynamics with flow-sensitized 4D MR imaging at 3 T. American Journal of Neuroradiology, 2007, 28(3): 433-438.
[11]
Yamashita S, Isoda H, Hirano M, et al. Visualization of hemodynamics in intracranial arteries using time-resolved three-dimensional phase-contrast MRI. Journal of Magnetic Resonance Imaging, 2007, 25(3): 473-478.
[12]
Stankovic Z, Allen BD, Garcia J, et al. 4D flow imaging with MRI. Cardiovascular diagnosis and therapy, 2014, 4(2): 173-192.
[13]
Markl M, Harloff A, Bley TA, et al. Time-resolved 3D MR velocity mapping at 3T: improved navigator-gated assessment of vascularanatomy and blood Flow. Journal of Magnetic Resonance Imaging, 2007, 25(4): 824-831.
[14]
Markl M, Geiger J, Kilner PJ, et al. Time-resolved three-dimensional magnetic resonance velocity mapping of cardiovascular Flow paths in volunteers and patients with Fontan circulation. European Journal of Cardio-thoracic Surgery, 2011, 39(2): 206-212.
[15]
Constantin P, Foias C. Navier-stokes equations. Chicago: University of Chicago Press, 1988.
[16]
Zhang Y, Chong W, Qian Y. Investigation of intracranial aneurysm hemodynamics following Flow diverter stent treatment. Medical engineering & physics, 2013, 35(5): 608-615.
[17]
Zhang Y, Takao H, Murayama Y, et al. Propose a wall shear stress divergence to estimate the risks of intracranial aneurysm rupture. Scientific World Journal, 2013, 2013(9): 160-169.
[18]
Zhang Y, Sia SF, Morgan MK, et al. Flow resistance analysis of extracranial-to-intracranial (EC-IC) vein bypass. Journal of biomechanics, 2012, 45(8): 1400-1405.
[19]
Callaghan FM, Karkouri J, Broadhouse K, et al. Thoracic aortic aneurysm: 4D flow MRI and computational fluid dynamics model. Computer methods in biomechanics and biomedical engineering, 2015, 18(1): 1894-1895.
[20]
Nederveen AJ. 4D MRI-based wall shear stress quantification in the carotid bifurcation: a validation study in volunteers using computational fluid dynamics. Resonance, 2014, 16(1): 162.
[21]
Isoda H, Ohkura Y, Kosugi T, et al. Comparison of hemodynamics of intracranial aneurysms between MR fluid dynamics using 3D cine phase-contrast MRI and MR-based computational fluid dynamics. Neuroradiology, 2010, 52(10): 913-920.
[22]
Cebral JR, Mut F, Weir J, et al. Quantitative characterization of the hemodynamic environment in ruptured and unruptured brain aneurysms. American Journal of Neuroradiology, 2011, 32(1): 145-151.
[23]
Juvela S, Porras M, Poussa K. Natural history of unruptured intracranial aneurysms: probability of and risk factors for aneurysm rupture. Journal of neurosurgery, 2000, 93(3): 379-387.
[24]
Cebral JR, Castro MA, Burgess JE, et al. Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. American Journal of Neuroradiology, 2005, 26(10): 2550-2559.
[25]
Shojima M, Oshima M, Takagi K, et al. Magnitude and role of wall shear stress on cerebral aneurysm computational fluid dynamic study of 20 middle cerebral artery aneurysms. Stroke, 2004, 35(11): 2500-2505.
[26]
吴桐，王凯，艾林，等. CT血管造影与MR血管造影对颅内动脉瘤诊断价值的对比研究．磁共振成像, 2015, 6(5): 339-343.
[27]
王云升，穆学涛，牛晓旺，等. HR-MRI、MRA与DSA在颅内动脉瘤瘤径测量中的对比研究．磁共振成像, 2015, 6(8): 621-625.

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