Synopsis
MRI-based
“Electric Properties Tomography” (MRI-EPT) determines electric conductivity
measuring and post-processing the spatial distribution of the TX RF field. Obtained
conductivity corresponds to Larmor frequency, reflecting biochemical content of
tissue, but not its specific cellular structure. Cellular tissue structure is
reflected by conductivity at low frequency (LF, 100-500 kHz), as used for
“Magnetic Particle Imaging” (MPI). Similar to MRI, MPI is able to determine
the spatial distribution of applied LF field, and thus, a reconstruction of LF
conductivity should be possible (“MPI-EPT”) in analogy to MRI-EPT. This study
investigated the principle feasibility of MPI-EPT and compared results with
MRI-EPT.Purpose
To show principle feasibility to extend MRI based "Electric Properties Tomography" ("MRI-EPT") determining electric conductivity at high (MHz) frequencies to "Magnetic Particle Imaging" (MPI), thus determining electric conductivity at low (kHz) frequencies ("MPI-EPT").
Introduction
Recently, an MR-based method was developed to measure electric
conductivity quantitatively
in vivo
using “Electric Properties Tomography” (MRI-EPT [1]), based on measuring and
post-processing the spatial distribution of the RF field applied. The
conductivity obtained with MRI-EPT corresponds to the Larmor
frequency of the MR system. At these frequencies, tissue bulk conductivity
is obtained, i.e., the conductivity reflects the biochemical content of the
tissue, but not its specific cellular structure. Cellular structure of tissue
is reflected by conductivity at much lower frequencies (100-500 kHz), which are
not accessible with MRI. On the other hand, “Magnetic Particle Imaging” (MPI [2,3]) is working at the desired low
frequencies (LF). Similar to MRI, MPI is able to determine the spatial
distribution of the LF field applied, and thus, reconstruction of LF
conductivity should be possible (“MPI-EPT”) analogously to MRI-EPT. – In this study,
the principle feasibility of MPI-EPT at 128 kHz was investigated, and
compared with MRI-EPT at 128 MHz.
Theory
The relation between a
spatial component H of a time
harmonic magnetic field H (with frequency
ω) and electric properties (i.e., conductivity σ and permittivity ε) reads [1]
$$$-{\nabla}^2 H=μω(ωε-iσ)H$$$ (1)
Here, σ, ε, and magnetic permeability μ are assumed to be constant, as is the case for the phantoms investigated. Eq. (1) is valid for both, MPI and MRI. Utilizing the complex nature of H = |H| exp(iφ),
Eq. (1) can be simplified to [4]
$$${\nabla}^2 φ=μωσ$$$
(2)
i.e., parabolic phase profiles are expected for
phantoms with constant σ. For MRI, Eq. (2) can be applied to the half
transceive phase φMRI = (φ+ - φ-)/2 (see [1]). For MPI, any arbitrary component of H can be measured [3] and used for Eq.
(2).
Methods
Phantoms: Two
cylindrical phantoms (both length = 15 cm, diameter
= 5.5 cm) were filled with (a) highly concentrated saline (250 g NaCl / liter
water) and (b) distilled water. The corresponding conductivity of the saline is 21.9 S/m at both 128 kHz and 128 MHz, and approximately 0 S/m for distilled water [5]. In the center of the phantoms, a small
compartment (1×1×1 mm3) was mounted and filled with Resovist ® (Bayer Schering Pharma AG, Berlin,
Germany) acting as contrast agent for MPI.
MRI
measurements: A steady state free precession sequence has been used to
measure φMRI of the
two phantoms (TR/TE = 3.3/1.6 ms, flip angle 25°, voxel size 1×1×1 mm3)
with a commercial 3T MRI system (Philips Ingenia, Best, The Netherlands).
Conductivity was estimated applying Eq. (2) to the measured phase maps.
MPI measurements: An experimental
MPI scanner (bore size 7 cm) was used [2,3] investigating the mode corresponding
to ω=128 kHz [6]. The phase of the contrast agent compartment
was measured with a time resolution of 20 ms over 3 minutes. Measurements
started with empty phantoms. After 45 seconds, phantoms were filled with the
respective fluid. After the next 45 seconds, emptying of phantoms started. Mean phase change between full and empty phantom was taken as φMPI(x=0) at iso-center. Phase change at left and right phantom boundary ±x0 was assumed to be zero φMPI(x=±x0) = 0, thus yielding three values to estimate the
parabolic phase shape according to Eq. (2).
Results
Figure 1 shows the
MRI phase maps
φMRI of the two phantoms (2 cm off-isocenter to exclude artefact from Resovist ® compartment) and Fig. 2 the corresponding phase profiles. The indicated, fitted parabola yields a conductivity of
19.2 S/m for the saline phantom. From the time course of the MPI scans (Fig. 3),
φMPI(
x=0) = 0.0051 rad is obtained for the
saline phantom. Together with the assumption
φMPI(
x=±
x0) = 0, a parabola can be fitted, which
corresponds to a conductivity of 20.6 S/m. Distilled water did not produce a significant phase bending, neither for MPI nor for MRI, as expected (Fig. 2).
Discussion / Conclusion
Approximately the same conductivity of roughly 20 S/m was measured at both 128 kHz using MPI and 128 MHz using MRI. These values correspond (a) to the applied phantom saline concentration and (b) to the expected frequency dependence, which is negligible for saline [5]. Further studies shall investigate the (non-negligible) frequency dependence of tissue conductivity using MPI and MRI.
In conclusion, the
RF conductivity spectrum of MRI-EPT can be extended to low frequencies using
MPI, opening a new way to investigate cellular structure of tissue.
Acknowledgements
No acknowledgement found.References
[1] Katscher U et al.,
Recent Progress and Future Challenges in MR ElectricProperties Tomography, Comput Math Methods Med. (2013) 546562
[2]
Gleich B et al., Fast Magnetic Particle Imaging demonstrator with enlarged FoV, ISMRM 18 (2010) 218
[3] Rahmer J et al., Results on rapid 3D Magnetic Particle Imaging with a large FoV, ISMRM 19 (2011) 629
[4] Voigt T et al., Quantitative conductivity and permittivity imaging of the human brain using electric properties tomography, MRM 66 (2011) 456
[5] Stogryn A, Equations for calculating
the dielectric constant of saline water, IEEE
Trans. Microwave Theory Tech. 19 (1971) 733
[6] Biederer S et al., Magnetization response spectroscopy of superparamagnetic nanoparticles for MPI, J Phys D 42 (2009) 205007