Qiong Zhang1, Yong Xiao Zhang2, and Yulong Liu3
1DL, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 2MR Collaborations, Siemens Healthcare Ltd., Shenzhen, China, 3Beijing Institute of Technology, BeiJing, China
Synopsis
The fast (‘Quick’) fat saturation technique (Q-fat sat) [1], which acquires several k-space lines after each Fat-Sat module, is widely used for suppression of signals from fat in MR imaging. In this work, we developed and evaluated a linear flexible reorder scheme for improved fat saturation VIBE imaging. In vivo experiments indicated that this technique markedly improves suppression of fat saturation signals compared with conventional Q-fat saturation imaging. Studies are underway to validate the clinical value of the technique.
Introduction
The fast (‘Quick’) fat saturation technique (Q-fat sat) [1], which acquires several k-space
lines after each Fat-Sat module, is widely used for suppression of signals from fat in MR imaging.This technique is based on the principle that the central low frequency data in k-space
controls the image contrast—preferred with complete fat
saturation—while collecting the edge data during fat signal recovery. The Q-fat
technique also balances issues of scan time and fat saturation effects by controlling the number of echoes following each fat saturation pulse.In this work, we used a fat signal evolution model for 3D VIBE imaging (within Q-fat saturation). This model was based on the Bloch Equation. The flip angle of fat saturation pulses and echo numbers, followed by each fat-saturation module, are flexibly modified to improve fat saturation effectiveness.Methods
Sequence: Figure 1 presents a diagram
of the Q-fat saturation VIBE sequence. Because all transversal magnetizations are spoiled before
the next radio frequency (RF)
pulse, the magnetization of fat in all tissues experiences a steady state
incoherent process [2, 3].
Fat tissue related magnetization experiences
periodical notations and precessions,
and each period contains a “β”
pulse for fat-selective excitation, as well as a series of “θ” pulses for
normal “fat and water” excitation. Without losing generality, assuming a periodic n,
the longitudinal magnetization of fat tissue starts from initialized
magnetization Mo and evolves according to Formulas 1 - 4 shown in Figure 2. Magnetizations
in the fat saturation train (Figure 1) (followed by each fat saturation module)
can be calculated using Formulas 5 and 6(Figure 2).
It should be noted that the longitudinal magnetization at the end of
period n is the initial value of period n+1 (Formulas 7 and 8). Principally, the calculation procedures start
with initial condition (n=0), and repeat formula from (1) to formula (7) in
each fat saturation train, and then the longitudinal magnetizations evolution
curve can be achieved, which is a direct reflection of the fat signal. Figure 3 (A and B) shows a virtual 3D imaging
with 60 phase-encoding lines collected after each fat saturation module. It
should be noted that the fat signal oscillates in only a few trains at the
start of the sequence, and then goes to smooth and periodic variation. By
neglecting this oscillation, the steady state cross section curve can be used
to trace the fat signal evolution, which can be modulated by changing the angle
of β pulse or the number of followed echoes. Figure 3 (C and D) shows that the fat signal
evolution curve can be modulated by changing the flip angles of the fat
saturation pulses, where the vertex of amplitude curve shifts left by
decreasing β angle, and shifts right by
increasing β angle. In real Q-fat saturation
implementation, assuming all the partition encoding lines were acquired after
each fat saturation module, the angle of fat saturation pulse (β) is modulated to make the vertex point shifts to the partition
center. Fat saturation train length may
also be split for achieving a stronger saturation effect (Figure 4). Thus, the
purpose of the proposed “lineal flexible” method is twofold: one is related to the fat saturation angle,
and the other is related to the train length.
Experiments:The IRB-approved experiments were performed on 8 healthy volunteers using a 3T system (MAGNETOM Spectra, Siemens Healthcare, Erlangen, Germany) with a 16-channel Head/Neck coil, and were implemented on a modified prototypical 3D VIBE sequence with the following protocol parameters: TR/TE = 6.42/2.47 ms, BW=250 Hz/pixel, FOV=173x190 mm2, Imaging Matrix =230x288, slices per slab=56, slice over sampling factor =28.6%, voxel size=0.7x0.7x1.0 mm3, Q-fat saturation lines per shot =60, FA=9o. The conventional Q-fat saturation VIBE sequence with the same parameters was also conducted for comparison.Results
A representative result from one subject is shown in Figure 4. It
is clear that the images acquired with the proposed linear flexible reordering
achieve better fat saturation effects when compared to the conventional Q-fat
VIBE technique, which uses an empirical value for β angle (indicated by white arrows in Figure 5). The fat saturation
effect is also enhanced by splitting fat saturation trains in our proposed
implemented VIBE sequences, without adding much scan time (Figure 5 C).Conclusions
In this work, we developed and evaluated a linear flexible reorder
scheme for improved fat saturation VIBE imaging. We validated this technique
and showed that it produces a better and more controllable fat saturation
effect compared with conventional Q-fat saturation imaging .It should be noted
that only longitudinal magnetizations are considered in our calculation
process, so the method is only practical for steady state incoherent (SSI)
sequences, and are not applicable to other steady state coherent (SSC) or spin
echo sequences. Studies are
underway to validate the clinical value of the technique.Acknowledgements
References
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