Peter Latta1, Zenon Starčuk2, Marco Gruwel3, and Boguslaw Tomanek1,4
1Central European Institute of Technology, Masaryk University, Brno, Czech Republic, 2Institute of Scientific Instruments, Academy of Sciences of the Czech Republic, Brno, Czech Republic, 3Biological Resources Imaging Laboratory, Lowy Cancer Research Centre, Sydney, Australia, 4University of Alberta, Edmonton, Canada
Synopsis
The ultrashort echo time (UTE) sequence is
capable to provide information about tissues with short T2. On the other hand, as with all non-Cartesian
data sampling schemes in general, it is sensitive to mismatching in the acquisition trajectory. This can be a potential source of errors, especially when used for
quantitative applications such as proton density (PD) mapping.
This problem can be reduced by calibration and correction of the k-space
acquisition trajectories. The presented experiments demonstrate the importance
of sampling trajectory corrections for UTE imaging, especially when applied for
quantitative measurements.
PURPOSE
The ultrashort
echo time (UTE) is often the method of choice for probing short-lived T2 signals
such as, from tendons, cartilage, cortical bones, meniscus and myelin, which are
usually invisible using the conventional Cartesian imaging techniques. UTE
sequences, as most non‑Cartesian acquisition schemes, are sensitive to small trajectory mismatch causing image distortions. This is even more
serious in quantitative MRI applications, where signal intensity errors result
in various discrepancies in tissue characterization. In this study we
demonstrate the impact of the acquisition trajectory errors on the proton
density (PD) measurement, comparing the signal intensities from identical short
T2 specimens positioned at different locations in the FOV. We
propose the calibration and correction of the UTE acquisition trajectories, minimizing
such errors.
METHODS
Imaging of a cylindrical water phantom was performed using a 2D UTE
dual echo sequence implemented on a whole body 3T (Magnetom Prisma; Siemens)
scanner. Water was doped with 25mg/L
MnSO4 in order to achieve typical T1/T2 values
found for brain tissues 1. As a source of short T2 signal, identical rubber erasers were placed in the
center and on the perimeter of the phantom 2. Figure 1(A) shows UTE images of the phantom using the following
parameters: TR=300ms, TE=100µs, Variable Rate Selective Excitation
(VERSE) RF pulses of 480 µs length, 300 flip angle, 5mm slice
thickness, FOV=230mm, readout gradient
of 36.5 mT/m with 250µs ramp time. Acquisition
of FID along 400 spoke orientations resulted in a 4 min total acquisition time.
A whole body RF coil was used for transmitting and a 20‑channel head phased
array probe for receiving. The actual course of the UTE acquisition
trajectories were calibrated with a k-space mapping technique described in 3 and used to correct UTE image
Fig.1(B). The double angle mapping of the B1 transmitting
field and measurement of receive phase array coil profile were performed according 4,5. Finally, single shot inversion recovery TurboFlash measurements were
performed to acquire T1 maps of the phantom. The B1, T1
and phased array coil sensitivity maps were used for correction of transmit and
receive profiles 6.RESULTS and DISCUSSION
The k-space trajectory deviations affects the UTE image intensity
variations which is well demonstrated by comparing 1D profiles of images before
and after corrections as shown in the Fig.1. The UTE images from short T2
signals were obtained by subtracting a second echo image and are shown in Fig.2: (A) without any
correction, (B) transmit/receive profile correction and (C) k-space trajectory
and transmit/receive sensitivity corrections. The intensities of the signals measured
from the same region of
interest ROI (R1, R2 and
R3) for all three cases are provided in Table 1 and revealed significant differences in signal intensities obtained
with the different reconstruction scenarios. While the corrections for transmit/receive
sensitivity profile is accepted as the standard procedure in PD mapping [4], the
comparison of the central and peripheral ROI location reveals discrepancies in
the signal intensities for such
corrected UTE images
(Fig.2 B). A further improvement
can be achieved by the calibration and correction of the acquisition trajectory
during the gridding procedure of the k‑space data. This improves the consistency
of the signal intensities over the FOV (Fig.3 C).CONCLUSION
The experimental data
showed that even a small data sampling mismatch, which does not produce obvious
image degradation or artifacts, could lead to serious PD quantification
discrepancies as is shown in Table 1. The presented
experiments demonstrate the importance of sampling trajectory corrections for
UTE imaging, especially when applied for quantitative measurements.Acknowledgements
This work was funded by Czech Science Foundation
grant no. 599 GA15-12607S.References
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