Sensitivity of patient-specific numerical simulation of cerebal aneurysm hemodynamics to inflow boundary conditions

Restricted access

Object

Due to the difficulty of obtaining patient-specific velocity measurements during imaging, many assumptions have to be made while imposing inflow boundary conditions in numerical simulations conducted using patient-specific, imaging-based cerebral aneurysm models. These assumptions can introduce errors, resulting in lack of agreement between the computed flow fields and the true blood flow in the patient. The purpose of this study is to evaluate the effect of the assumptions made while imposing inflow boundary conditions on aneurysmal hemodynamics.

Methods

A patient-based anterior communicating artery aneurysm model was selected for this study. The effects of various inflow parameters on numerical simulations conducted using this model were then investigated by varying these parameters over ranges reported in the literature. Specifically, we investigated the effects of heart and blood flow rates as well as the distribution of flow rates in the A1 segments of the anterior cerebral artery.

The simulations revealed that the shear stress distributions on the aneurysm surface were largely unaffected by changes in heart rate except at locations where the shear stress magnitudes were small. On the other hand, the shear stress distributions were found to be sensitive to the ratio of the flow rates in the feeding arteries as well as to variations in the blood flow rate.

Conclusions

Measurement of the blood flow rate as well as the distribution of the flow rates in the patient's feeding arteries may be needed for numerical simulations to accurately reproduce the intraaneurysmal hemodynamics in a specific aneurysm in the clinical setting.

Abbreviations used in this paper: ACA = anterior cerebral artery; ACoA = anterior communicating artery; bpm = beats per minute; CT = computed tomography; MR = magnetic resonance; STL = stereolithography; TCD = transcranial Doppler.
Article Information

Contributor Notes

Address reprint requests to: Prem Venugopal, Ph.D., Novo Nor-disk Delivery Technologies, 3920 Point Eden Way, Hayward, California 94545. email: prem.venugopal@gmail.com.

© AANS, except where prohibited by US copyright law.

Headings
References
  • 1

    Aenis MStancampiano APWakhloo AKLieber BB: Modeling of flow in a stented and nonstented side wall aneurysm model. J Biomech Eng 119:2062121997

    • Search Google Scholar
    • Export Citation
  • 2

    Baumgartner RWMathis JSturzenegger MMattle HP: A validation study on the intraobserver reproducibility of transcranial color-coded duplex sonography velocity measurements. Ultrasound Med Biol 20:2332371994

    • Search Google Scholar
    • Export Citation
  • 3

    Burleson ACStrother CMTuritto VT: Computer modeling of intracranial saccular and lateral aneurysms for the study of their hemodynamics. Neurosurgery 37:7747841995

    • Search Google Scholar
    • Export Citation
  • 4

    Burleson ACTuritto VT: Identification of quantifiable hemodynamic factors in the assessment of cerebral aneurysm behavior. On behalf of the Subcommittee on Biorheology of the Scientific and Standardization Committee of the ISTH. Thromb Haemost 79:1181231996

    • Search Google Scholar
    • Export Citation
  • 5

    Cebral JRCastro MAAppanaboyina SPutman CMMillan DFrangi AF: Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans Med Imaging 24:4574672005

    • Search Google Scholar
    • Export Citation
  • 6

    Cebral JRHernandez MFrangi APutman CPergolesi RBurgess J: Subject-specific modeling of intracranial aneurysms. Proc SPIE 5369:3193272004

    • Search Google Scholar
    • Export Citation
  • 7

    Chatziprodromou IButty VDMakhijani VBPoulikakos DVentikos Y: Pulastile blood flow in anatomically accurate vessels with mutiple aneurysms: a medical intervention planning application of computational haemodynamics. Flow Turbul Combust 71:3333462003

    • Search Google Scholar
    • Export Citation
  • 8

    Faries PLAgarwal GLookstein RBernheim JWCayne NSCadot H: Use of cine magnetic resonance angiography in quantifying aneurysm pulsatility associated with endoleak. J Vasc Surg 38:6526562003

    • Search Google Scholar
    • Export Citation
  • 9

    Hart RHaluszkiewicz E: Blood flow velocity using transcranial doppler velocimetry in the middle and anterior cerebral arteries: correlation with sample volume depth. Ultrasound Med Biol 26:126712742000

    • Search Google Scholar
    • Export Citation
  • 10

    Hassan TEzura MTimofeev EVTominaga TSaito TTakahashi A: Computational simulation of therapeutic parent artery occlusion to treat giant vertebrobasilar aneurysm. AJNR Am J Neuroradiol 25:63682004

    • Search Google Scholar
    • Export Citation
  • 11

    Hassan TTimofeev EVEzura MSaito TTakahashi ATakayama K: Hemodynamic analysis of an adult vein of galen aneurysm malformation by use of 3d image-based computational fluid dynamics. AJNR Am J Neuroradiol 24:107510822003

    • Search Google Scholar
    • Export Citation
  • 12

    Hassan TTimofeev EVSaito TShimizu HEzura MTominaga T: Computational replicas: anatomic reconstructions of cerebral vessels as volume numerical grids at three-dimensional angiography. AJNR Am J Neuroradiol 25:135613652004

    • Search Google Scholar
    • Export Citation
  • 13

    Jou LDQuick CMYoung WLLawton MTHigashida RMartin A: Computational approach to quantifying hemodynamic forces in giant cerebral aneurysms. AJNR Am J Neuroradiol 24:180418102003

    • Search Google Scholar
    • Export Citation
  • 14

    Jou LDWong GDispensa BLawton MTHigashida RYoung WL: Correlation between lumenal geometry changes and hemodynamics in fusiform intracranial aneurysms. AJNR Am J Neuroradiol 26:235723632005

    • Search Google Scholar
    • Export Citation
  • 15

    Kerber CWImbesi SGKnox K: Flow dynamics in a lethal anterior communicating artery aneurysm. AJNR Am J Neuroradiol 20:200020031999

    • Search Google Scholar
    • Export Citation
  • 16

    Long ARouet LBissery ARossignol PMouradian DSapoval M: Compliance of abdominal aortic aneurysms: evaluation of tissue doppler imaging. Ultrasound Med Biol 30:109911082004

    • Search Google Scholar
    • Export Citation
  • 17

    Low MPerktold KRaunig R: Hemodynamics in rigid and distensible saccular aneurysms: a numerical study of pulsatile flow characteristics. Biorheology 30:2872981993

    • Search Google Scholar
    • Export Citation
  • 18

    Myers JGMoore JAOjha MJohnston KWEthier CR: Factors influencing blood flow patterns in the human right coronary artery. Ann Biomed Eng 29:1091202001

    • Search Google Scholar
    • Export Citation
  • 19

    Pearlstein AJCarpenter BN: On the determinantion of solenoidal or compressible velocity fields from measurements of passive or reactive scalars. Phys Fluids 7:7547631995

    • Search Google Scholar
    • Export Citation
  • 20

    Scheel PRuge CSchöning M: Flow velocity and flow volume measurements in the extracranial carotid and vertebral arteries in healthy adults: reference data and effects of age. Ultrasound Med Biol 26:126112662000

    • Search Google Scholar
    • Export Citation
  • 21

    Shojima MOshima MTakagi KTorii RHayakawa MKatada K: Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms. Stroke 35:250025052004

    • Search Google Scholar
    • Export Citation
  • 22

    Starmans-Kool MJStanton AVZhao SXu XYThom SAHughes AD: Measurement of hemodynamics in human carotid artery using ultrasound and computational fluid dynamics. J Appl Physiol 92:9579612002

    • Search Google Scholar
    • Export Citation
  • 23

    Stefani MASchneider FLMarrone ACSeverino AGJackowski APWallace C: Anatomic variations of anterior cerebral artery cortical branches. Clin Anat 13:2312362000

    • Search Google Scholar
    • Export Citation
  • 24

    Steinman DAMilner JSNorley CJLownie SPHoldsworth DW: Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. AJNR Am J Neuroradiol 24:5595662003

    • Search Google Scholar
    • Export Citation
  • 25

    Ujiie HLiepsch DGoetz MYamaguchi RYonetani HTakakura K: Hemodynamic study of the anterior communicating artery. Stroke 27:208620931996

    • Search Google Scholar
    • Export Citation
  • 26

    Womersley JR: Method for the calculation of velocity, rate flow, and viscous drag in arteries when the pressure gradient is known. J Physiol 127:5535631955

    • Search Google Scholar
    • Export Citation
TrendMD
Metrics

Metrics

All Time Past Year Past 30 Days
Abstract Views 379 378 95
Full Text Views 132 74 1
PDF Downloads 96 44 0
EPUB Downloads 0 0 0
PubMed
Google Scholar