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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