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Extraction of patient-specific boundary conditions from 4D-DSA and their influence on CFD simulations of cerebral aneurysms.

Yuya UchiyamaSoichiro FujimuraHiroyuki TakaoHiroshi OnoKeigo KatayamaTakashi SuzukiToshihiro IshibashiKatharina OtaniKostadin KaragiozovKoji FukudomeYuichi MurayamaMakoto Yamamoto
Published in: Computer methods in biomechanics and biomedical engineering (2022)
We developed a new technique for extracting patient-specific inflow conditions, such as the pulse cycle duration and blood flow velocity, from four-dimensional digital subtraction angiography images and experimentally examined its validity. The maximum error between the values extracted by the technique and measured values was 14.3%. We performed blood flow simulations and calculated representative haemodynamic parameters. The maximum differences between the parameters obtained using general and patient-specific inflow conditions were approximately 400%, 150%, and 50% for the velocity, normalised wall shear stress, and pressure loss coefficient, respectively. These results indicate that patient-specific conditions are critical for accurately reproducing aneurysmal haemodynamics.
Keyphrases
  • blood flow
  • optical coherence tomography
  • molecular dynamics
  • computed tomography
  • blood pressure
  • deep learning
  • magnetic resonance
  • monte carlo
  • blood brain barrier
  • brain injury