Imaging of Lung Conductivity Using Ultrashort Echo-Time Imaging
Ulrich Katscher1 and Peter Börnert1

1Philips Research Europe, Hamburg, Germany

Synopsis

Reliable MR imaging of lung tissue could be an important element of diagnosing lung-related diseases. The very short T2 components of lung tissue, one of the main problems of lung imaging, can be visualized using ultrashort echo times (UTE). Furthermore, UTE sequences allow the determination of conductivity of the imaged tissue. This study shows the principle feasibility of UTE to image lung conductivity, examining healthy volunteers. Obtained conductivity was lower for inspiration breath hold than expiration breath hold, which is the expected behaviour due to corresponding fraction of air (with nearly zero conductivity) inside lungs during inspiration and expiration.

Purpose

To show the principle feasibility of imaging the electric conductivity of lungs using Ultrashort Echo-Time (UTE)-sequences

Introduction

Reliable MR imaging of lung tissue could be an important element of diagnosing lung-related diseases like lung cancer, pneumonia, or Chronic Obstructive Pulmonary Disease (COPD). The very short T2 components of lung tissue, one of the main problems of MR lung imaging, can be visualized using sequences with ultrashort echo times (UTE) [1,2]. Furthermore, UTE sequences allow the determination of electric conductivity of the imaged tissue [3,4]. The conductivity determination can be based on the phase of the MR image, as long as this phase is only related to B1 effects and not affected by B0 effects (i.e., main field inhomogeneity or off-resonance) [5]. This pre-condition is sufficiently fulfilled for UTE sequences, since B0 phase contributions are proportional to the echo time applied. This study applied UTE sequences to investigate the principle feasibility of lung conductivity imaging, examining healthy volunteers.

Methods

UTE was applied to the lungs of 5 healthy volunteers (informed consent obtained) using a 3T MR system (Philips Ingenia, Best, The Netherlands) with 2-TX-channel RF shimming and an anterior/posterior RX coil array. UTE was performed with a 3D radial ("koosh-ball") k-space trajectory (TR/TE = 1.9/0.06 ms, flip angle 2°, isotropic voxel size 2.3×2.3×2.3 mm3, scan duration 28 s). Scans were repeated twice with expiration and inspiration breath hold. With φ the image phase, μ0 the magnetic vacuum permeability, and ω the Larmor frequency, conductivity σ was reconstructed via $$$ σ = {\nabla}^2φ/(2μ_0ω) $$$ [5] and a subsequent median filter. Kernel size of both, numerical differentiation and median filter, was locally adapted not to cross tissue boundaries.

Results

For both, inspiration and expiration breath hold of one of the volunteers, UTE reformats and corresponding conductivity maps are shown in Fig. 1 and conductivity histograms in Fig. 2. The median conductivity of expiration and inspiration breath hold is 0.45 S/m and 0.05 S/m, respectively. The average over all volunteers investigated is 0.55 ± 0.21 S/m and 0.16 ± 0.14 S/m, respectively.

Discussion

This study showed the feasibility of lung conductivity mapping with UTE. The reconstructed conductivity was lower for inspiration breath hold than for expiration breath hold. This is the expected behaviour, since the fraction of air (with nearly zero conductivity) inside the lungs should be higher during inspiration than during expiration; this is confirmed by literature values [6]. Thus, pathologic lung tissue could be characterized by UTE-based conductivity imaging, particularly reflecting the electrolyte content of the tissue, but also its water and air content.

Acknowledgements

No acknowledgement found.

References

[1] Bianchi A et al., Three-dimensional accurate detection of lung emphysema in rats using ultra-short and zero echo time MRI, NMR Biomed 28 (2015) 1471

[2] Wurnig MC et a., In vivo magnetization transfer imaging of the lung using a zero echo time sequence at 4.7 Tesla in mice: Initial experience, MRM 2015 (e-publ. 25882)

[3] Schweser F et al., Conductivity Mapping Using Ultrashort Echo Time (UTE) Imaging, ISMRM 13 (21) 4190

[4] Lee SK et a., Tissue electrical property mapping from zero echo-time magnetic resonance imaging, IEEE TMI 34 (2015) 541

[5] Voigt T et al., Quantitative conductivity and permittivity imaging of the human brain using electric properties tomography, MRM 66 (2011) 456

[6] Gabriel C et al., The dielectric properties of biological tissues: I. Literature survey, Phys Med Biol. 41 (1996) 2231

Figures

Fig. 1: 3D UTE reformats (left hand side) and conductivity maps (right hand side, color scale in S/m) of one of the volunteers. Upper row: expiration breath hold, lower row: inspiration breath hold. Different columns: transverse/coronal/sagittal reformats.

Fig. 2: Histogram of lung conductivity of the volunteer shown in Fig. 1. As expected, conductivity was higher for expiration breath hold (red, median = 0.45 S/m) than for inspiration breath hold (blue, median = 0.05 S/m).



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
2923