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Abstract #0827

Cerebrovascular relative pressure assessment using 4D Flow MRI – accuracy of image-based estimation approaches

David Marlevi1, Jonas Schollenberger2, Maria Aristova3, Edward Ferdian4, Alistair A Young4,5, Elazer R Edelman1, Susanne Schnell3,6, C. Alberto Figueroa2, and David Nordsletten2,5
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2University of Michigan, Ann Arbor, MI, United States, 3Northwestern University, Chicago, IL, United States, 4University of Auckland, Auckland, New Zealand, 5King's College London, London, United Kingdom, 6University of Greifswald, Greifswald, Germany

4D Flow MRI images cerebrovascular blood flow in-vivo, however, estimation of relative pressure is difficult due to the unique flow and anatomies found in the brain. We evaluated the performance of three different techniques (reduced Bernoulli (RB); unsteady Bernoulli (UB); virtual Work-Energy Relative Pressure (vWERP)) for cerebrovascular assessment. Using patient-specific in-silico models, we show that accurate estimations are dependent on sufficient spatial resolution (dx < 0.75 mm3) and used approach (vWERP achieving accurate estimates; RB/UB showing systematic underestimation bias). With similar dependencies indicated in-vivo, these results underline both potentials and challenges of mapping cerebrovascular relative pressure by 4D Flow MRI.

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