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Mean Aneurysm Flow Amplitude Ratio Comparison between DSA and CFD

  • Fred van Nijnatten
  • Odile Bonnefous
  • Hernan G. Morales
  • Thijs Grünhagen
  • Roel Hermans
  • Olivier Brina
  • Vitor Mendes Pereira
  • Daniel Ruijters
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9350)

Abstract

The Mean Aneurysm Flow Amplitude ratio (MAFA-ratio) has been proposed to evaluate the efficacy of flow diverting stents during minimally invasive intracranial aneurysm treatment. A method has been described for calculating the MAFA-ratio on high frame-rate digital subtraction angiography (DSA) acquisitions using an optical flow algorithm. In this article we have generated computational fluid dynamics (CFD) simulations using six distinct aneurysms and computed the MAFA-ratios based on these data. Furthermore, the simulations have been used to create virtual angiograms, in order to calculate the MAFA-ratios using the DSA approach. An analysis of the MAFAratios generated by both methods shows that there is a monotone increasing relation between the DSA and CFD based ratios, albeit without a slope being identity. Overall, it can be concluded that the DSA-based ratio is a predictor for the magnitude of aneurysm flow reduction, i.e., for the efficacy of flow diverting stents.

Keywords

Mean aneurysm flow amplitude Flow diversion Digital subtraction angiography Computational fluid dynamics 

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References

  1. 1.
    Augsburger, L., Reymond, P., Fonck, E., Kulcsar, Z., Farhat, M., Ohta, M., Stergiopulos, N., Rüfenacht, D.A.: Methodologies to assess blood flow in cerebral aneurysms: Current state of research and perspectives. J. Neuroradiol. 36, 270–277 (2009)CrossRefGoogle Scholar
  2. 2.
    Sforza, D.M., Putman, C.M., Cebral, J.R.: Hemodynamics of cerebral aneurysms. Annu. Rev. Fluid Mech. 41, 91–107 (2009)CrossRefzbMATHGoogle Scholar
  3. 3.
    Sun, Q., Groth, A., Bertram, M., Waechter, I., Bruijns, T., Hermans, R., Aach, T.: Phantom-based experimental validation of computational fluid dynamics simulations on cerebral aneurysms. Med. Phys. 37, 5054–5065 (2010)CrossRefGoogle Scholar
  4. 4.
    Groth, A., Waechter-Stehle, I., Brina, O., Perren, F., Mendes Pereira, V., Rüfenacht, D., Bruijns, T., Bertram, M., Weese, J.: Clinical study of model-based blood flow quantification on cerebrovascular data. In: Wong, K.H., Holmes III, D.R. (eds.) SPIE Medical Imaging: Visualization, Image-Guided Procedures, and Modeling, vol. 7964, pp. 79640X. SPIE Press (2011)Google Scholar
  5. 5.
    Morales, H.G., Bonnefous, O.: Unraveling the relationship between arterial flow and intra-aneurysmal hemodynamics. J. Biomech. 48, 585–591 (2015)CrossRefGoogle Scholar
  6. 6.
    Mendes Pereira, V., Bonnefous, O., Ouared, R., Brina, O., Stawiaski, J., Aerts, H., Ruijters, D., Narata, A.P., Bijlenga, P., Schaller, K., Lovblad, K.-O.: A DSA-Based Method Using Contrast-Motion Estimation for the Assessment of the Intra-Aneurysmal Flow Changes Induced by Flow-Diverter Stents. AJNR Am. J. Neuroradiol. 34, 808–815 (2013)CrossRefGoogle Scholar
  7. 7.
    Mendes Pereira, V., Ouared, R., Brina, O., Bonnefous, O., Stawiaski, J., Aerts, H., Ruijters, D., van Nijnatten, F., Perren, F., Bijlenga, P., Schaller, K., Lovblad, K.-O.: Quantification of Internal Carotid Artery Flow with Digital Subtraction Angiography: Validation of an Optical Flow Approach with Doppler Ultrasound. AJNR Am. J. Neuroradiol. 35, 156–163 (2014)CrossRefGoogle Scholar
  8. 8.
    Brina, O., Ouared, R., Bonnefous, O., van Nijnatten, F., Bouillot, P., Bijlenga, P., Schaller, K., Lovblad, K.-O., Grünhagen, T., Ruijters, D., Mendes Pereira, V.: Intra-Aneurysmal Flow Patterns: Illustrative Comparison among Digital Subtraction Angiography, Optical Flow, and Computational Fluid Dynamics. AJNR Am. J. Neuroradiol. 35, 2348–2353 (2014)CrossRefGoogle Scholar
  9. 9.
    Morales, H.G., Bonnefous, O.: Peak systolic or maximum intra-aneurysmal hemodynamic condition? Implications on normalized flow variables. J. Biomech. 47, 2362–2370 (2014)CrossRefGoogle Scholar
  10. 10.
    Bonnefous, O., Mendes Pereira, V., Ouared, R., Brina, O., Aerts, H., Hermans, R., van Nijnatten, F., Stawiaski, J., Ruijters, D.: Quantification of arterial flow using digital subtraction angiography. Med. Phys. 39, 6264–6275 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Fred van Nijnatten
    • 1
  • Odile Bonnefous
    • 2
  • Hernan G. Morales
    • 2
  • Thijs Grünhagen
    • 1
  • Roel Hermans
    • 1
  • Olivier Brina
    • 3
  • Vitor Mendes Pereira
    • 3
    • 4
  • Daniel Ruijters
    • 1
  1. 1.interventional X-RayPhilips HealthcareBestThe Netherlands
  2. 2.Medisys - Philips ResearchParisFrance
  3. 3.Division of Neuroradiology, Department of Medical ImagingUniversity Hospitals of GenevaGenevaSwitzerland
  4. 4.Division of Neuroradiology, Department of Medical Imaging and Division of Neurosurgery, Department of Surgery, Toronto Western HospitalUniversity Health NetworkTorontoCanada

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