Anjali Datta1, Corey A Baron1, R Reeve Ingle2, Joseph Y Cheng1, and Dwight G Nishimura1
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2HeartVista, Inc., Menlo Park, CA, United States
Synopsis
bSSFP is commonly used for cardiac cine imaging due to its
high myocardium-blood contrast but suffers from signal nulls due to off-resonance.
By modifying the slow frequency modulation scheme for use in the heart, we acquire
interleaved phase-cycles within a breath-hold for banding artifact reduction. Because a constant heart rate cannot be
assumed, the phase increment increases slowly for a time equal to the shortest
expected RR interval and then remains constant until the next trigger. In vivo results indicate that the proposed
method is comparable to standard phase-cycling but with shorter scan time and
interleaved phase-cycle acquisition.Purpose
Balanced steady-state free precession (bSSFP) is commonly
used for cardiac cine imaging due to its high SNR and desirable
myocardium-blood contrast, but suffers from signal nulls due to off-resonance. Acquiring multiple images with different RF
phase-cycling enables the reconstruction of a combined image with reduced
banding, but extra stabilization periods are needed between phase-cycles, and
the sequential acquisition of different phase-cycles may cause
registration errors during combination.
Foxall
1 proposed slow frequency modulation to obviate stabilization
periods between phase-cycles. By
modifying the slow frequency modulation scheme for use in the heart, we developed
a bSSFP cine sequence that can acquire interleaved phase-cycles within a
breath-hold.
Methods
To test the feasibility of slow frequency modulation for
cardiac cine imaging, a sequence with two phase-cycles was developed. Because a
constant heart rate cannot be assumed, a modified scheme (Fig. 1) was designed
in which the phase-cycling modulates slowly for a time equal to the shortest
expected RR interval, after which the phase increment remains constant until
the next cardiac trigger. Before the scan, we determine the number of TRs, nFM,
that covers the shortest expected RR interval.
For nFM TRs, the phase increment increases by 180o/nFM
each TR so that the other phase-cycle is reached before the next trigger. This synchronization of the phase increments
with the cardiac triggers offers immunity to heart-rate variability – a
particular cardiac phase will be acquired with the same average phase-cycling
during even heartbeats, and the average phase-cycling during odd heartbeats
will be offset by exactly 180o.
A discrete phase-cycled sequence was also implemented for
comparison. Both sequences are prospectively triggered and begin with two
heartbeats of dummy acquisitions. For the slow frequency modulation sequence,
interleaved phase-cycled images are acquired over 26 heartbeats. For the discrete phase-cycled sequence, a 90o
RF phase-cycled image is acquired (13 heartbeats), followed by a stabilization
period (2 heartbeats), and then a 270o phase-cycled image is
acquired (13 heartbeats). Both sequences
are sequential, segmented 2DFT acquisitions with 10 views per segment (41-ms
temporal resolution). Each k-space
segment is repeated until the next trigger, and, within each segment, an
odd-even view ordering is used to cause temporal artifacts to ghost outside of
the heart (e.g., the first segment’s ordering was 1-3-5-7-9-10-8-6-4-2).
To verify that the constant phase-cycling at the end of each
heartbeat does not disrupt the slow frequency modulation profile, we used a
phantom doped with nickel chloride and manganese chloride to have blood-like T1/T2
= 1045 ms/207 ms. We examined the
spectral profile during the slow-frequency modulation TRs that follow the
constant phase-increment TRs by acquiring projections of this phantom with no
phase-encoding. A heart rate varying between 60 and 73 bpm (corresponding to 992 ms and 820 ms RR intervals, respectively) was simulated.
Slow-frequency-modulated and discrete phase-cycled scans of
two volunteers were performed on a 1.5T GE Signa Excite scanner using an
8-channel cardiac receive coil and the following parameters: 22x22 cm2 FOV, 1.15x1.7 mm2
resolution, 8 mm slice thickness, 60° flip angle, 1.8 ms TE, 4.1 ms TR, and 28
heartbeat scan duration for slow frequency modulation and 30 heartbeat scan
duration for discrete phase-cycling. To
simulate increased off-resonance, the Y linear gradient was deliberately offset
from the optimal shim, or “de-shimmed.”
Phantom data to examine the spectral profile was acquired with a
quadrature transmit/receive head coil.
Results
Phantom studies show that, over a significant range in RR interval length, the slow-frequency-modulation profile experiences very limited transients from the constant phase-increment TRs at the end of each simulated heartbeat (Fig. 2). Thus, the proposed phase-cycling scheme seems appropriate for using slow frequency modulation with variable heart rates.
The bands in the two phase-cycled images in Fig. 3 are offset, facilitating the reconstruction of a combined image without signal nulls. The root-sum-of-squares-combined images from the proposed slow-frequency-modulated method (bottom row of Fig. 4) are comparable to those from standard phase-cycling (top row) but were acquired in a shorter scan time since frequency modulation eliminates the stabilization periods between phase cycles. Both methods greatly reduce the dark banding artifacts.
Discussion and Conclusion
Preliminary in-vivo results show the feasibility of cardiac
cine imaging using slow frequency modulation within a breath-hold for banding-artifact
reduction. Slow frequency modulation
leads to interleaved acquisition of the phase-cycles and a shorter scan time
than discrete phase-cycling.
Acceleration via parallel imaging and partial Fourier should shorten the
scan duration to less than a standard breath-hold. Slow frequency modulation, combined with this
acceleration, would enable the acquisition of more phase-cycles within a
breath-hold, which would facilitate a flatter spectral profile after phase-cycle
combination.
Acknowledgements
We would like to thank the Fannie and John Hertz Foundation, NSF Graduate Research Fellowship Program, and GE Healthcare for their support.References
1. Foxall DL. Frequency-modulated steady-state free precession imaging. Magn Reson Med 2002;48;502-508.
2. Markl M, Alley MT, Elkins CJ, Pelc NJ. Flow
effects in balanced steady
state free precession imaging. Magn Reson Med
2003;50:892-903.