Abstract #0051
Theoretical Performance and Sampling Limits in Steady-State Magnetic Resonance Elastography
Joshua Trzasko 1 , Kevin Glaser 1 , Arvin Arani 1 , Armando Manduca 1 , David Lake 1 , Phillip Rossman 1 , Shivaram Poigai Arunachalam 1 , Kiaran McGee 1 , Richard Ehman 1 , and Philip Araoz 1
1
Mayo Clinic, Rochester, MN, United States
In magnetic resonance elastography (MRE), mechanically
induced motion is estimated from a time-encoded series
of phase-contrast images and used to generate
quantitative spatial maps of tissue stiffness. Like most
dynamic/parametric applications, MRE has flexibility
regarding acquisition parameter assignment, particularly
with respect to motion encoding gradients (MEG). In this
work, we derive the Cramer-Rao Lower Bound (CRLB) for
the complex harmonic signal which completely describes
mechanically induced motion in single-frequency,
steady-state MRE and use this to define performance
limits of experimental MRE setups. This can serve as an
objective tool for developing and comparing different
protocols. Using this bound, we then identify minimum
number of data samples needed for complex harmonic
estimation to be well-posed.
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