Kelvin Chow1, Yang Yang2, and Michael Salerno1,2
1Medicine, Division of Cardiology, University of Virginia, Charlottesville, VA, United States, 2Biomedical Engineering, University of Virginia, Charlottesville, VA, United States
Synopsis
The robustness of SASHA T1 mapping to
systematic errors provides more accurate T1 measurements, but SASHA is less
precise than the more commonly used MOLLI sequence. Free-breathing SASHA acquisitions can
increase precision in T1 maps, but motion correction of SASHA images is
challenging due to poor blood-tissue contrast.
We present a novel approach for robust image registration by acquiring additional
high-contrast data in a keyhole fashion without affecting T1 accuracy. In 10 healthy subjects, a SASHA T1 maps acquired
in <90 seconds of free-breathing had a lower myocardial T1 standard
deviation than MOLLI (46.1±3.8 ms vs. 55.3±7.7 ms, p<0.05).Purpose
To develop robust free-breathing SASHA T1 mapping using high-contrast
image registration and compare to MOLLI T1 mapping.
Background
T1 mapping has been used to assess diffuse myocardial fibrosis in a
variety of cardiac diseases, but increased accuracy and precision are needed to
confidently measure subtle changes in sub-clinical diseases. The SASHA
technique (1) is more accurate than the commonly used MOLLI sequence (2), but
SASHA has poorer precision because of the reduced dynamic range of saturation
recovery. Motion-corrected free-breathing acquisitions have been used for
T2* mapping (3), however robust motion correction is challenging for SASHA
images due to poor blood-tissue contrast. We present a novel approach
generating co-registered high-contrast images that improve the robustness of
image registration and enable free-breathing SASHA T1 mapping.
Methods
Variable flip angle (VFA) SASHA (4) images have poor blood-tissue
contrast because the center of k-space is acquired early on in the bSSFP image
readouts (Fig. 1). Blood-tissue contrast improves later in the readout due
to inherent bSSFP T2/T1 weighting, but T2-weighting would introduce systematic
error in T1 values calculated from this data. Instead, additional low
frequency k-space lines acquired following the primary SASHA-VFA image can be
used to generate a secondary higher contrast (HC) image that can be used for registration.
As the HC lines are acquired adjacent to and immediately following the high-frequency
lines for the primary image with similar contrast, only a small number of HC
lines are needed and the high-frequency lines can be can be shared with the
primary image in a keyhole manner (Fig. 2). The difference image between
primary and HC images (Fig. 3) provides consistent blood-tissue contrast
between non-saturated and saturation-recovery images, improving the robustness
of image registration. As the HC images are intrinsically co-registered
with the primary images, registration performed on the HC or difference images
can be used to directly motion correct the primary images used to calculate T1
maps.
A
larger 120° maximum flip angle was used in order to maximize blood-tissue
contrast for the HC image, however the VFA length was increased to maintain
similar flip angles prior to the primary image k-space center as the previously
described 70° SASHA-VFA. Other parameters include: 360×270 mm FOV, 256×150
matrix, 78% phase resolution, 7/8ths partial Fourier, 1.19/2.76 ms TE/TR, and
GRAPPA R=2 acceleration, with 65 phase encodes for the primary image.
High-contrast acquisitions consisted of 15 low-frequency lines at R=3 and were
reconstructed using GRAPPA prior to combination with primary k-space
data. POCS reconstruction was used on the combined high-contrast k-space
data.
10
healthy volunteers (6 male, 33±8 yrs) were imaged on a Siemens 1.5T Avanto
scanner with written informed consent. Breath-hold T1 data were acquired
in a short-axis slice using 5(3)3 MOLLI, 70° SASHA-VFA, and 120°
SASHA-VFA. The MOLLI sequence used 1.04/2.68 ms TE/TR and other
parameters matched to SASHA. Free-breathing 120° SASHA-VFA data was
acquired with 10 non-saturated images separated by >5 seconds and 30
saturation recovery images for a total imaging time of <90 seconds.
55% of the free-breathing images closest to end-expiration were automatically
selected and aligned with a non-rigid image registration algorithm (5) using
information from difference and primary images (HC-REG). Conventional
registration was also performed using the primary images only (NORM-REG).
SASHA T1 maps were calculated using a 2-parameter model and MOLLI T1 maps were
calculated using a 3-parameter model with Look-Locker correction. The
mean and standard deviation of myocardial T1 values were calculated for each T1
map.
Results
Primary, HC, and difference SASHA-VFA images from one subject are shown
in Fig. 3 and T1 maps are shown in Fig. 4.
Mean T1 values (Fig. 5) were not statistically different between
breath-hold 70° SASHA-VFA, breath-hold 120° SASHA-VFA, and free-breathing 120°
SASHA-VFA with HC-REG (2-way ANOVA, p>0.05). The T1 standard deviation
of free-breathing SASHA-VFA with HC-REG (46.1±3.8 ms) was lower than both
breath-hold SASHA-VFA (55.3±7.7 ms, paired t-test p<0.05) and MOLLI
(57.5±9.0 ms, paired t-test p<0.05).
Image
registration of free-breathing SASHA-VFA data was robust with HC-REG and no
apparent residual motion was observed. Residual motion was apparent in
the majority of NORM-REG data, and myocardial T1 values were higher than HC-REG
(1162.7±35.4 vs 1153.4±27.3 ms), consistent with blood pool contamination.
Conclusions
High-contrast images with improved blood-tissue contrast can be acquired
in ~40 ms using keyhole sharing, enabling robust free-breathing SASHA T1
mapping. Myocardial SASHA-VFA T1 values were similar between
free-breathing with HC-REG and standard breath-hold acquisitions, but with a
32% reduction in standard deviation. Free-breathing SASHA-VFA with HC-REG
is an accurate T1 mapping technique with lower variability than the reference MOLLI
sequence.
Acknowledgements
No acknowledgement found.References
1)
Chow K et al.
Saturation Recovery Single-Shot Acquisition (SASHA) for Myocardial T1 Mapping.
Magn Reson Med 2014;71:2082-2095.
2)
Messroghli DR et al.
Modified Look-Locker Inversion Recovery (MOLLI) for high-resolution T1 mapping
of the heart. Magn Reson Med 2004;52:141-146.
3)
Kellman P et al.
Free-breathing T2* mapping using respiratory motion corrected averaging. J
Cardiovasc Magn Reson 2015;17:3.
4)
Chow K et al. Improved
precision in SASHA T1 mapping with a variable flip angle readout. J Cardiovasc
Magn Reson 2014;16(Suppl 1):M9.
5)
Avants BB et al. A
reproducible evaluation of ANTs similarity metric performance in brain image
registration. NeuroImage 2011;54:2033-2044.