Maxim Terekhov1, David Lohr1, and Laura Maria Schreiber1
1Comprehensive Heart Failure Center, University Hospital Wuerzburg, Wuerzburg, Germany
Synopsis
In this paper, we investigated experimentally
and statistically the effect of distortions of myocardium DTI with STEAM-EPI
due to susceptibility induced gradients varied in a range of factor 10 to 20 to
the reference. The special focus was given to examining the effect of prolonged
EPI-readout, B0-shimming effect and motion-induced shimming errors
relevant for high-resolution DTI in-vivo. Fresh ex-vivo pig hearts were used
for DTI measurements with an in-house developed STEAM-EPI sequence. The distribution
of diffusion directions components was found well preserved for prolonged
readout even at high internal gradient.
Introduction
The diffusion tensor imaging plays
important role in cardiac MRI providing information on both structural and
functional properties of the myocardium tissue1. To deal with the relatively
short T2*-time of myocardium the stimulated echo-based sequences (STEAM) is
typically used to provide sufficient time for the diffusion encoding by splitting
it between two RR-intervals. To cover enough diffusion directions within single
breath-hold an EPI-readout is normally employed. Both features make STEAM-EPI cardiac
diffusion measurements extra sensitive to the B0-inhomogeniety, which
are intrinsically strong within the heart due to heterogeneous structure and
large blood volume. Additional susceptibility gradients are generated by the
proximity of low density lung tissue. Therefore, the proper shimming strategy
is crucial. The informativity of cMRI is typically limited by the low spatial
resolution and SNR increasing the interest in using the ultra-high B0
for the high resolution cardiac DTI. In this paper, we investigated the effect
of distortions of myocardium DTI with STEAM-EPI due to susceptibility induced
gradients typical for high B0 fields. The special focus was given to
examining the effect of B0-shimming effect and motion-induced errors
relevant for the in-vivo. Materials and Methods
Fresh ex-vivo pig heart (n=3)
were used for DTI measurements with an in-house developed STEAM-EPI sequence. To
provide difference in the B
0-homogeniety the containers with hearts
were filled with 0.9% NaCl solution or left empty (referred further as “water”
and “air” measurements, respectively). Measurements were done using 15-channel
knee coil on 3T Siemens Magnetom “Prisma” scanner. The STEAM mixing time was
limited to 250ms to provide sufficient SNR. The TE was varied from 45ms to 75ms
(6/8 partial Fourier, iPAT=0) to simulate the potential for increasing spatial
resolution. Matrix size=128x128, FOV=205mm, pixel bandwidth=1560Hz, 6
directions diffusion encoding were used. For the 3mm slice, the 15mm and 50mm shimming
volume slabs were set. Shimming error due to heart motion were simulated by shifting
the shim slabs as demonstrated by Figure 4(a).
The whole heart 3D B
0-maps
with isotropic 1mm
2x1.5 mm voxels were built using phase maps
acquired by 3D GRE with TE=4.7 and 9.6ms. The standard scanner-side DTI
reconstruction of diffusion tensor (ADC, fractional anisotropy, eigenvalues and
main eigenvector (E
1) components) were used.
The analyzed parameters were: 1) relative bias (%) of isotropic
diffusion coefficient (∆ADC) between TE=45ms and 75ms and its interquartile
range (IQR) 2) similarity of the E
1 components structure characterized by
relative cross-correlation of its probability density functions (PDF), where
100% corresponds to identical PDFs.
Results
Figure 1 shows the difference in B0-gradients
maps in the fresh ex-vivo pig heart surrounded by physiological solution and
air. The dramatic increase of the B0-heterogeneity in the air due to
susceptibility gradients is observed. Figure
2 demonstrates the measured ∆ADC due to prolonged EPI-readout time (TE). The
increase of the ∆ADC IQR by factor 1.5-2 is observed for the air in comparison
with the water. Figure 3 shows that
the increase of B0-heterogeneity in the air leads to essential distortions
in characteristic segmental structure of main diffusion directions distribution
within myocardium. Figure 4
demonstrates the combined effect of B0 heterogeneity and “off-slice”
shimming error for the ADC and diffusion direction structure integrity. Discussion and Conclusion
The increase of the B0-heterogeneity
by factor 10 to 20 in the “air” in comparison to “water” environment by susceptibility
gradients may be considered as representative, for example, for the in-vivo
measurements of the human and large animal heart at 7T B0 field. As expected, the additional shortening of T2*
is manifested via heterogeneity of the bias of ADC for increased TE. This, in
turn leads to distortion of both STEAM encoding and measuring the diffusion
parameters by EPI. The distortions of E1 directions distribution in
the air is well recognized on Figure 3 (top) both visually and in PDFs of
individual components (bottom panels). However, the increase of TE up to 75ms does
not change significantly the E1 direction structure even in the air.
Moreover, the similarity of PDFs is very high in the air. Later finding is
important for the high-resolution DTI where long TE time is mandatory. Up to
25% increased heterogeneity of the ADC-bias due to longer EPI readout (b) is observed. The relative similarity
of the E1 components distribution drops down for the “off-slice”
shimming but not for the shimming slab of 50mm. This means that “global”
shimming not focused to the specific slice should be preferable for the high B0
gradients if standard scanner algorithms are used. Alternatively, the dynamic
shimming with the navigation to the measured slice should be applied. Acknowledgements
We acknowledge financial support of German Ministry of Education and Research (BMBF), grants: 01EO1004, 01E1O1504. References
1. Choukri Mekkaouia, Timothy G. Reesea, Marcel P. Jackowskib,Himanshu Bhatc and David E. Sosnovik, Diffusion MRI in the heart, NMR Biomed: 2015; Epub doi: 10.1002/nbm.3426