Pim Borman1, Clemens Bos2, Sjoerd Crijns1, Bas Raaymakers1, and Chrit Moonen2
1Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 2Imaging Division, UMC Utrecht, Utrecht, Netherlands
Synopsis
PRFS thermometry is important
for guidance of thermal therapies. Here we show that the thermometry sequence
can be accelerated by the novel parallel imaging technique SMS-CAIPIRINHA and
we compare it to an unaccelerated sequence and a SENSE accelerated sequence.
Heating was applied by means of HIFU and LITT. A good agreement was seen
between temperature curves from SMS-CAIPIRINHA and those from the unaccelerated
sequence. Furthermore, the noise level was significantly lower compared to
temperature curves from the SENSE accelerated sequence.Purpose
Thermal therapies, such as high-intensity focused
ultrasound (HIFU) and laser-induced thermal therapy (LITT) are increasingly
being applied in oncology and neurology.
MRI is an attractive modality for guidance since it can track
temperature and has a good soft-tissue contrast, useful for visualizing the
lesion. It is important that the PRFS thermometry sequence is fast enough to
keep up with temperature changes, to reduce motion artifacts and to allow for
enough spatial coverage. Our hypothesis is that the acquisition can be
accelerated and the spatial coverage can be increased by using Simultaneous multi-slice
imaging (SMS) [1] in combination with CAIPIRINHA [2], and that the potential
SNR advantage that this method has over SENSE translates in a higher precision
of the temperature measurements. We use HIFU and LITT for heating and compare
the temperature curves acquired with SMS-CAIPIRINHA accelerated sequences with
those acquired with unaccelerated sequences, SENSE accelerated sequences and hybrid
SENSE/SMS-CAIPIRINHA accelerated sequences.
Methods
To test our hypothesis two different experiments were performed.
The first used HIFU heating in
ex-vivo bovine tissue with a GRE sequence and the second used LITT heating in an agar phantom with a
multi-shot EPI GRE sequence.
HIFU: The HIFU
experiment was performed on a 1.5T Achieva scanner using a Sonalleve HIFU
system (Philips, Best, NL) for continuous heating at 30W during 1 minute. A fat-suppressed
GRE sequence with α/TE/TR = 10°/9.2ms/12ms, FOV 24x24cm2,
voxel size 1.5x1.5x5mm3 and a 20 channel coil array were used for
imaging. To achieve CAIPIRINHA shifting, different MultiBand (MB) RF pulses
were cycled each phase encoding line [3]. The MB pulses were calculated in
Matlab (The Mathworks, Natick, USA). The stack contained two slices and the
dynamic scan time of the unaccelerated sequence was 6.1s. Four different scans were
compared: an unaccelerated scan, a SENSE scan with acceleration factor 2, a
SMS-CAIPIRINHA scan with acceleration factor 2 and a SENSE/SMS-CAIPIRINHA scan
with total acceleration factor 4. For all scans the total scan time was 4
minutes consisting of the non-heating, heating and cool-down regimes.
LITT: The LITT
experiment was performed on a 1.5T Ingenia scanner (Philips, Best, NL) using a
Nd:YAG laser (TMS, Umkirch, DE) for continuous heating, operating at 36W during
1 minute. A multi-shot EPI GRE sequence with α/TE/TR = 12°/15ms/35ms,
FOV 21x21cm2, voxel size 1.5x1.5x5mm3 and a 15 channel
coil array was used for imaging. CAIPIRINHA shifting was achieved by using
gradient blips [4] instead of cycled RF pulses. With this imaging sequence the
same comparison as in the HIFU experiment was made. The dynamic scan time was
2.8s and the accelerations were used to increase the spatial coverage.
Analysis: The
images were further processed in Matlab where temperature curves were obtained
from averaging over a ROI of 2x2 mm2. The precision of the
temperature measurements was quantified by calculating the standard deviations
of the curves in the non-heating regime.
Results and Discussion
The
HIFU transducer created a small lesion in the tissue (fig. 1) of which the
temperature was monitored. The temperature curves of the accelerated scans of the
HIFU experiment (fig. 2b-d) were in good agreement with the temperature curves
of the unaccelerated scan (fig. 2a). The
standard deviations were σ
unacc = 0.68 °C, σ
SENSE = 1.1°C, σ
SMS
= 0.66 °C and σ
SENSE/SMS = 1.1 °C. Similarly in the LITT experiment the
accelerated EPI scans (fig. 3b-d) were in good agreement with the unaccelerated
EPI scan (fig. 3a). The standard deviations were σ
unacc = 0.3°C,
σ
SENSE
= 0.44°C, σ
SMS = 0.32°C and σ
SENSE/SMS = 0.63°C. This
shows that SMS-CAIPIRINHA can accelerate both GRE and EPI GRE scans without
loss of precision, although most PRFS thermometry sequences use EPI readouts.
The standard deviation is inversely proportional to the SNR. It
was therefore to be expected that σ
SMS < σ
SENSE. The improvement in precision was quantified by
the dimensionless quantity σ
SENSE / σ
SMS (fig. 4). In
regions with negligible geometry factor this quotient was close to the
theoretical value of √2. This was expected since the SENSE
scan acquired half of k-space while SMS-CAIPIRINHA acquired the full k-space
albeit for two slices simultaneously.
Conclusion
PRFS thermometry can be accelerated with SMS-CAIPIRINHA, which
results in a higher precision compared to SENSE acceleration. The acceleration
can be used for increasing the temporal resolution as demonstrated in the HIFU
experiment, or for increasing the spatial coverage as demonstrated in the LITT
experiment.
Acknowledgements
This work was funded by the SoRTS consortium.References
[1] Larkman et al. JMRI 2001 13:141-317; [2] Breuer et
al. MRM 2005 53(3):684-91; [3] Sbrizzi et al. MRM 2011 66(3):879-85; [4]
Setsompop et al. MRM 2012 64:1210-1224