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 Young^4,5, Elazer R Edelman¹, Susanne Schnell^3,6, C. Alberto Figueroa², and David Nordsletten^2,5

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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