Journal of Korean Neurosurgical Society

The Korean Neurosurgical Society (대한신경외과학회)
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Numerical Model for Cerebrovascular Hemodynamics with Indocyanine Green Fluorescence Videoangiography

  • Hwayeong Cheon (Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center) ;
  • Young-Je Son (Department of Neurosurgery, Seoul National University Boramae Hospital) ;
  • Sung Bae Park (Department of Neurosurgery, Seoul National University Boramae Hospital) ;
  • Pyoung-Seop Shim (System Configuration Team, Korea Institute of Atmospheric Prediction Systems) ;
  • Joo-Hiuk Son (Department of Physics, University of Seoul) ;
  • Hee-Jin Yang (Department of Neurosurgery, Seoul National University Boramae Hospital)
  • Received : 2022.07.27
  • Accepted : 2022.09.22
  • Published : 2023.07.01
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Abstract

Objective : The use of indocyanine green videoangiography (ICG-VA) to assess blood flow in the brain during cerebrovascular surgery has been increasing. Clinical studies on ICG-VA have predominantly focused on qualitative analysis. However, quantitative analysis numerical modelling for time profiling enables a more accurate evaluation of blood flow kinetics. In this study, we established a multiple exponential modified Gaussian (multi-EMG) model for quantitative ICG-VA to understand accurately the status of cerebral hemodynamics. Methods : We obtained clinical data of cerebral blood flow acquired the quantitative analysis ICG-VA during cerebrovascular surgery. Varied asymmetric peak functions were compared to find the most matching function form with clinical data by using a nonlinear regression algorithm. To verify the result of the nonlinear regression, the mode function was applied to various types of data. Results : The proposed multi-EMG model is well fitted to the clinical data. Because the primary parameters-growth and decay rates, and peak center and heights-of the model are characteristics of model function, they provide accurate reference values for assessing cerebral hemodynamics in various conditions. In addition, the primary parameters can be estimated on the curves with partially missed data. The accuracy of the model estimation was verified by a repeated curve fitting method using manipulation of missing data. Conclusion : The multi-EMG model can possibly serve as a universal model for cerebral hemodynamics in a comparison with other asymmetric peak functions. According to the results, the model can be helpful for clinical research assessment of cerebrovascular hemodynamics in a clinical setting.

Keywords

Acknowledgement

This work was partly supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2021R1F1A1056527). This work was partly supported by 2022 University of Seoul Research Grant. This work was partly supported by a clinical research fund of Seoul National University Boramae Hospital.

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