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Abstract #2752

Improved full turbulence tensor quantification using ICOSA6 flow encoding for phase-contrast MRI

Henrik Haraldsson 1 , Sarah Kefayati 1 , Beln Casas Garcia 2 , Jonas Lantz 2 , Tino Ebbers 2 , and David Saloner 1

1 University of California, San Francisco, San Francisco, California, United States, 2 University of Linkoping, Sweden

Turbulence is an important factor in hemodynamics, and has been associated with several pathological conditions including energy losses and thrombogenic platelet deformations. Quantification of the full turbulence tensor allows for more complex hemodynamic parameters such as pressure losses and shear stresses that has been linked to platelet activation. In this work we show that using an ICOSA6 flow encoding and determining the turbulence stress tensor by solving the lease-square-problem we are able to estimate turbulent shear components with lower noise sensitivity and without compromising the result of the normal turbulence components.

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