Zhongzheng He1, Martin Doguet1, Paul Soullié1, Paulo Loureiro de Sousa2, Pauline Lefebvre1, and Freddy Odille1,3
1IADI U1254, INSERM, Université de Lorraine, Nancy, France, 2ICube, Université de Strasbourg, CNRS, Strasbourg, France, 3CIC-IT 1433, CHRU Nancy, INSERM, Université de Lorraine, Nancy, France
Synopsis
Many MR-EPT reconstruction
methods have been published, however, there is a lack of comparative
experiments to verify the reconstructed electrical properties (EP) maps. In
this work, we compared and validated the phase-based (PB), complex-image-based
(CIB), and their simplified methods with ground truth vector network analyzer
measurements on different conductivity phantoms. After serval comparative
experiment repetitions, the complex-image-based method by Soullié et al.[1] was the most consistent to
the VNA ground truth measurements. The proposed setup can be used to compare
other MR-EPT reconstruction methods.
INTRODUCTION
Different reconstruction
methods for magnetic resonance electrical properties tomography (MR-EPT) have
now been published to estimate the conductivity and permittivity of tissues
from MR measurements. However, there is a lack of comparative experiments between ground truth
values, as measured by a vector network analyzer (VNA), and the reconstructed
EP maps. In this work, we evaluated several phase-based (PB) and
complex-image-based (CIB) methods, including the method by Soullié et al.[1], which was shown to
overperform others in numerical simulations. Conductivity phantoms were made and scanned to
evaluate the inter-session reproducibility of MR-EPT, and ground truth
measurements were obtained using a VNA and a dedicated probe.METHODS
Phantoms: We made five simple gel tube phantoms
(diameter = 10 cm, height=15 cm) consisting of 1 liter of deionized water, 15 g
agar and different mass concentrations of NaCl, 0%, 1%, 2.5% and 5%,
respectively.
Ground truth measurements: The reflection coefficient of dielectric materials
(Γ) can be expressed by the complex relative permittivity (εr) and
conductivity (σ), Γ= εr - jσ/(
ε0) where ω is the angular velocity and ε0
is the vacuum permittivity. We used the dedicated probe from a commercial
dielectric assessment kit (DAK 12, from SPEAG, Zurich, Switzerland), which was
connected to a VNA (VNA ZNB 4, Rhodes & Schwartz), see Figure1. Reflection
coefficients were measured by the VNA at high frequencies [50MHz, 150MHz], in open,
short, and loaded circuit modes respectively, to calibrate the instrument.
A reference saline solution (0.1 M NaCl) with known EP values was used for the
loaded circuit mode. Finally, reflection coefficients from our phantoms were
measured and permittivity and conductivity values were inferred [2], at the Larmor frequency of our
scanner (Siemens Prisma 3T), i.e. 123MHz. Using a known EP value TSL-HU16 gel, we
ensure that the measurement error is below 2.5%. Measurements, including the calibration
procedure, were repeated over 4 sessions (4 different days, within 6 hours of
the MR-EPT session) and temperatures were reported each time.
Phase-based and Complex-image-based MR-EPT: MR-EPT methods aim at
reconstructing EP maps from images with strong RF weighting (B1+
and B1- weighting), which are spatially modulated by
local EP changes. We used two categories of MR-EPT methods (see Figure 2): phase-based
(PB) methods [3] and complex-image-based
methods (CIB) [1]. Phase-based methods use a
phase image as an input, assumed to be the transceive RF phase
(i.e. the phase of 𝐵1+𝐵1−) to reconstruct conductivity(σ).
Complex-image-based methods use the complex MRI signal of a UTE/ZTE sequence
with a low flip angle, which is proportional to the complex transceive RF field (𝐵2 = 𝐵1+𝐵1−), to provide conductivity (σ)
and permittivity (εr). Both PB and CIB methods involve a numerical
solver to invert a regularized Helmholtz-type equation (regularization parameter
was tuned manually for each method). Both methods have a simplified version,
called phase-based simplified (PBS) [4] and complex-image-based
simplified (CIBS) [5], in which EP values are
considered piecewise constant, resulting in a simple and direct reconstruction
formula. Therefore 4 MR-EPT maps were reconstructed (PBS, PB, CIBS, CIB). RESULTS
EP values obtained by MR-EPT
and VNA are summarized in Figure 3. For all concentrations, except 0%, CIB
provided the conductivity values closest to VNA measurements. However, at 0% NaCl,
CIB exhibited overestimated values and CIBS was the closest. For all values,
including VNA ones, the inter-session standard deviation was strongly dependent
on the NaCl concentration and temperature. Examples of raw UTE images and
reconstructed maps are shown in Figure 4. The raw maps are shown: the typical
boundary artifacts can be seen for all reconstructions, especially for the
simplified methods (PBS and CIBS). Masks used to calculate the values in Figure
3 are also displayed. The CIB method provided more uniform maps and the
highest spatial resolution. Figure 5 shows the CIB values and the VNA values
obtained at session 4 (22.2 °C), where the temperature was the most consistent between the
MRI and VNA experiments.DISCUSSION AND CONCLUSION
Standard deviations of
conductivity values in the VNA measurements can be explained mainly by
temperature differences between different sessions. All MR-EPT methods provided
conductivity maps that were reproducible over different sessions and strongly
correlated with the VNA ground truth. However, all MR-EPT methods seemed to
slightly overestimate low conductivities (< 1 S/m), and phase-based methods
seemed to slightly underestimate high conductivities (> 1 S/m). MR-EPT maps
all showed a boundary artifact, which was more pronounced in simplified
methods. The proposed setup can be used to compare other MR-EPT reconstruction
methods. In future work, we will design more complex phantoms of different
sizes and with multiple compartments to mimic in-vivo conditions.Acknowledgements
Funding: French ANR project
ELECTRA (ANR-21-CE19-0040).References
[1] P.
Soullié, A. Missoffe, K. Ambarki, J. Felblinger, et F. Odille, « MR
electrical properties imaging using a generalized image‐based method », Magn.
Reson. Med., vol. 85, no 2, p. 762‑776, févr. 2021, doi:
10.1002/mrm.28458. (CIB method)
[2] J. S. Bobowski et T. Johnson,
« PERMITTIVITY MEASUREMENTS OF BIOLOGICAL SAMPLES BY AN OPEN-ENDED COAXIAL
LINE », Prog. Electromagn. Res. B, vol. 40, p. 159‑183, 2012, doi:
10.2528/PIERB12022906.
[3] N.
Gurler et Y. Z. Ider, « Gradient-based electrical conductivity imaging
using MR phase », Magn. Reson. Med., vol. 77, no 1, p.
137‑150, janv. 2017, doi: 10.1002/mrm.26097. (PB method)
[4] U.
Katscher, T. Voigt, C. Findeklee, P. Vernickel, K. Nehrke, et O. Dössel,
« Determination of electric conductivity and local SAR via B1
mapping », IEEE Trans. Med. Imaging, vol. 28, no 9, p.
1365‑1374, sept. 2009, doi: 10.1109/TMI.2009.2015757. (PBS method)
[5] S.-K.
Lee, S. Bulumulla, F. Wiesinger, L. Sacolick, W. Sun, et I. Hancu,
« Tissue Electrical Property Mapping from Zero Echo-Time Magnetic
Resonance Imaging », IEEE Trans. Med. Imaging, vol. 34, no
2, p. 541‑550, févr. 2015, doi: 10.1109/TMI.2014.2361810. (CIBS method)