Biomedical Signal Processing and Control 13 (2014) 270–281
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Biomedical Signal Processing and Control
jo ur nal homep age: www.elsevier.com/locate/bspc
Multi-frequency inversion in Rayleigh damped Magnetic Resonance
Elastography
Andrii Y. Petrov
a,∗
, Paul D. Docherty
b
, Mathieu Sellier
b
, J. Geoffrey Chase
b
a
Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
b
Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
a r t i c l e i n f o
Article history:
Received 6 December 2013
Received in revised form 15 April 2014
Accepted 17 April 2014
Keywords:
Magnetic Resonance Elastography
Rayleigh damping
Multi-frequency inversion
Parametric inversion
Model identifiability
Mechanical properties
a b s t r a c t
Magnetic Resonance Elastography (MRE) is able to identify mechanical properties of biological tissues
in vivo based on underlying assumptions of the model used for inversion. Models, such as the linearly
elastic or viscoelastic (VE), can be used with a single input frequency data and can produce a reasonable
estimate of identified parameters associated with mechanical properties. However, more complex mod-
els, such as the Rayleigh damping (RD) model, are not identifiable given single frequency data without
significant a priori information under certain conditions, thus limiting diagnostic potential. To over-
come this limitation, two approaches have been postulated: simultaneous inversion across multiple
input frequencies and a parametric approach, when only single frequency data is available.
This research compares simultaneous multi-frequency (MF) RD reconstructions using both zero-order
and power-law (PL) models with parametric reconstructions for a series of tissue-simulating phantoms,
made of tofu and gelatine materials, tested at 4 frequencies (50 Hz, 75 Hz, 100 Hz and 125 Hz) that are
commonly applied in clinical MRE examinations. Results indicate that accurate delineation of RD based
properties and concomitant damping ratio (
d
) using MF inversion is still a challenging task. Specific
results showed that the real shear modulus (
R
) can be reconstructed well, while imaginary components
representing attenuation (
I
and
I
) had much lower quality. However, overall trends correlate well with
the expected higher damping levels within the saturated tofu material compared to stiff gelatine in both
phantoms. Depending on the phantom configuration, measured
R
values within the tofu and gelatine
materials ranged from 4.77 to 7 kPa and 15.5 to 16.3 kPa, respectively, while damping levels were 11–19%
and 3.1–4.3%, as expected. Correlation of the
R
and
d
values with previously reported result measured
by independent mechanical testing and VE based MRE is acceptable, ranging from 48 to 60%. Both PL and
zero-order models produced similar qualitative and quantitate results, thus no significant advantage of
the PL model was noted to account for dispersion characteristics of these types of materials.
The relatively narrow range of frequencies used in this study limited practical identifiability and can
thus produce a potentially false assurance of identifiability of the model parameters. We conclude that
application of multiple input frequencies over a wide range, as well as selection of an appropriate model
that can accurately account for dispersion characteristics of given materials are required for achieving
robust practical identifiability of the RD model in time-harmonic MRE.
© 2014 Elsevier Ltd. All rights reserved.
1. Introduction
In time-harmonic Magnetic Resonance Elastography (MRE), a
single input frequency is a common experimental approach for
mechanical property reconstruction. It is less time consuming and
∗
Corresponding author.
E-mail addresses: petrov.bme@gmail.com, petrov@hawaii.edu (A.Y. Petrov),
paul.docherty@canterbury.ac.nz (P.D. Docherty), mathieu.sellier@canterbury.ac.nz
(M. Sellier), geoff.chase@canterbury.ac.nz (J.G. Chase).
only requires a single patient examination. A number of stud-
ies investigated various models for both static [1,2] and dynamic
[3–11] MRE methods using single frequency data. These models
include linearly elastic [12–14], viscoelastic (VE) [15–20] and even
poroelastic [21–23] models.
Two main limitations prevent single frequency approaches from
providing accurate approximations of the tissue response. The
first is associated with the dispersive nature of the complex shear
modulus at different frequencies and thus quantitative estimates
acquired at a particular excitation frequency do not represent the
true static (at 0 Hz) values of material constants. The second arises
http://dx.doi.org/10.1016/j.bspc.2014.04.006
1746-8094/© 2014 Elsevier Ltd. All rights reserved.