Yun Shang1, Martin Gajdosik1, Sebastian Theilenberg1, Laura M. Schreiber2,3, and Christoph Juchem1,4
1Department of Biomedical Engineering, Columbia University, New York, NY, United States, 2Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center, University Hospital Wuerzburg, Wuerzburg, Germany, 3Department of Cardiovascular Imaging, Comprehensive Heart Failure Center, University Hospital Wuerzburg, Wuerzburg, Germany, 4Department of Radiology, Columbia University, New York, NY, United States
Synopsis
B0 inhomogeneity leads to dark band artifacts in
cardiac MRI, in particular with the use of SSFP pulse
sequences. Limited spatial resolution of MRI-derived B0 maps
prevents the systematic analysis of the problem and the development of
optimized B0 shim strategies. Here we demonstrate the potential for
simulating both overall and cardiac phase-specific B0 field
conditions in the human heart at 3 T at high spatial resolution from anatomical
MRI. The results are validated by high-resolution B0 field mapping
in the same subjects. This approach is expected to develop population-specific
B0 shim strategies from readily available anatomical MRI libraries.
Introduction
Heart disease is the leading cause of death among all ages
in the United States1. Cardiovascular Magnetic Resonance imaging (CMR)
with the use of steady-state free precession (SSFP) pulse sequences is a
widely-used method to diagnose heart diseases and assess cardiac function2,3.
SSFP-based CMR provides excellent image contrast between the myocardium and the
blood pool3, making it a suitable clinical tool. Their sensitivity
to B0 inhomogeneities can lead to signal loss and so-called dark
band artifacts4,5. B0 field inhomogeneity in the human
heart arises primarily from magnetic susceptibility differences between the lungs
and heart tissue6 and is furthermore modulated over the cardiac
cycle7,8 as geometric conditions change.
We have shown previously that overall B0
conditions in the human heart can be predicted from anatomical CT images9.
In this work, we demonstrate the potential for simulating cardiac
phase-specific B0 field conditions in the human heart at 3 T at high
spatial resolution from anatomical MRI of the subject at hand. The results are
validated by high-resolution B0 field mapping in the same subjects.Methods
Cardiac phase-specific B0 conditions were simulated
based on tissue masks created from the magnitude images of the cardiac
phase-specific B0 maps averaged across the two echo times (for
increased SNR) assuming -9 ppm and 0 ppm susceptibility for tissue
and air, respectively, as described previously9. To minimize finite
volume effects in the simulations, the cardiac phase-specific tissue masks were
extended to the whole thoracic area using the larger FOV GRE data which was
acquired by a non-triggered anatomical GRE scan with 3 mm isotropic resolution
and FOV = 450 x 382 x 312 mm3 in free breathing. The B0 conditions
across the segmented heart ROI were decomposed in zero through third order
spherical harmonics (SH) with B0DETOX10.
For experimental validation, cardiac phase-specific
B0 field maps were acquired from 5 healthy male subjects (age: 31 ± 4) on a 3 T Prisma MR scanner (Siemens,
Erlangen, Germany) using an ECG triggered gradient echo (GRE) sequence in 3 breath
holds with TR/TE1/TE2 = 79/2.04/4.34 ms, isotropic
spatial resolution of 3 mm and FOV = 195 x 195 x 108 mm³. Images were acquired
with a varying number of phases per cardiac cycle (min/max/mean = 6/11/8.8)
depending on the subjects’ heart rate (mean ± std: 66 ± 15 bpm). For every subject and cardiac phase,
the region of interest (ROI) of the heart was segmented individually using in-house
software (written in MATLAB, MathWorks, Natick, MA, USA) and then processed using
the Medical Imaging Interaction Toolkit software11.Results
Simulated high-resolution cardiac phase-specific B0
field distributions based on regional anatomical features (Figure 1) and the
corresponding B0 maps measured directly in the same subjects (Figure
2) exhibited spatial patterns typical for the human heart including localized
high-amplitude distortions. Simulated and measured high-level B0
patterns were consistent both spatially, e.g. when decomposed in higher order
SH shapes, as well as temporally across the cardiac cycle in all subjects. Note
the combination of common temporal behavior across all subjects and distinct
subject-specific features. Low-level B0 features somewhat differed,
for instance, the linear Z-gradient (3.2%) which is hypothesized to be due to
the applied first-order default shim applied in the experiments or larger scale
magnetic susceptibility conditions, i.e. overall body anatomy beyond the chest
area, not considered in the B0 field simulations. This relative
temporal progression is plotted for all subjects for selected exemplary SH
coefficients in Figure 3. In vivo
measurements largely resemble the theoretically predicted B0 field
behavior for all SH coefficients up to the second SH order, as shown in Figure
4. Different dynamic changes of B0 field inhomogeneities were
observed for all subjects during the cardiac cycle (Figure 5).Discussion
Here we present a detailed spatio-temporal analysis of the B0
field conditions in the human heart at 3 T. Theoretical simulations employing
regional anatomical features enabled the high-resolution and noise-free characterization
of the B0 field conditions and were validated by direct experimental
B0 mapping in the same subjects. A consistent subject-independent oscillatory
progression of the spatial B0 distribution observed throughout the
cardiac cycle is expected to allow the development of generalized B0
shim approaches valid across populations, whereas the theoretical prediction of
detailed anatomy-based B0 variations will be used to derive advanced
subject-specific B0 shim strategies. Potential applications include
the development of optimal static B0 shimming (minimizing B0-induced
CMR artifacts across the cardiac cycle) as well as cardiac phase-specific real-time
B0 shimming, potentially without the need to acquire cardiac phase-specific
B0 maps for the subject at hand.Acknowledgements
Financial support was obtained from the German Ministry of
Education and Research (BMBF) under grants: 01EO1004 & 01EO1504.
Cardiac B0
field mapping was done at Zuckerman Mind Brain Behavior Institute MRI Platform
at Columbia University, a shared resource.
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