Abstract #4268
A Graph Cut Approach to Regularized Harmonic Estimation for Steady-State MR Elastography
Joshua D. Trzasko 1 , Daniel C. Mellema 1 , Armando Manduca 1 , Scott A. Kruse 1 , Adil E. Bharucha 1 , Kiaran P. McGee 1 , and Philip A. Araoz 1
1
Mayo Clinic, Rochester, MN, United States
In steady-state magnetic resonance elastography (MRE),
quantitative tissue stiffness maps are constructed using
the first temporal harmonic of a phase contrast image
series. The accuracy of a stiffness map intrinsically
depends on the estimated harmonic from which it is
derived. Recently, a robust statistical framework for
harmonic estimation was proposed, but the associated
optimization strategy for performing the estimation was
limited to phase-wrap free data. In this work, we
describe a novel complex graph cut optimization strategy
for harmonic estimation that can operate effectively in
the presence of wrapping, and discuss several unique
computational challenges associated with this problem.
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