Hyungseok Jang1,2 and Alan B McMillan1
1Department of Radiology, University of Wisconsin, Madison, WI, United States, 2Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, United States
Synopsis
Accurate MR-based attenuation correction (MRAC) is necessary to enable
quantitative PET imaging in PET/MR. Unfortunately, identification of bone via
MR methods is technically challenging due to its short T2*. Thus, ultrashort
time echo (UTE) techniques have been proposed. In this study, we explored rapid
multi-echo frequency encoded UTE and ramped hybrid encoding (RHE) for UTE-based
imaging schemes for MRAC with clinically feasible scan times (<35sec). By
using an IDEAL-based signal model for long T2* suppression, multi-echo hybrid
encoding UTE imaging performed better than frequency encoded UTE. Purpose
PET imaging combined with MRI has emerged as a new and promising molecular
imaging platform. While PET/MR benefits from the rich soft tissue contrast of
MRI, it remains challenging to obtain a reliable photon attenuation correction map
necessary for accurate PET quantitation due to MRI’s limitations in imaging
bone (which has high photon attenuation relative to soft tissues). Many recent approaches
for MR-based attenuation correction (MRAC) have proposed ultrashort echo time
(UTE) imaging schemes due to its capability to resolve objects with short T2*
decay (i.e., bone). Unfortunately, UTE techniques are not typically rapid
(e.g., several minutes of acquisition time, particularly for multi-echo
approaches), and are thus likely to impede PET/MR workflow (especially for
whole body PET/MR where only 3-5 minutes may be available for MRI at each bed
position). In this study, we explored a new scheme for MRAC that achieves rapid
acquisition (<35 seconds) with improved short T2* signal estimation.
Methods
Conventional
frequency encoded UTE (FE-UTE) and ramped hybrid encoding (RHE)
1 with
G
RF=0% were explored as imaging schemes for attenuation correction. In
FE-UTE, k-space is measured using a center-out radial frequency encoding
gradient that is applied after RF coil deadtime as shown in Figure 1-a. In RHE,
the readout gradient is applied before RF coil deadtime as seen in Figure 1-b,
and the k-space data missing during RF coil deadtime is measured by single
point imaging (SPI). In this study, each acquisition is extended with additional
gradient echoes to secure multiple images at later TEs. Note that two images
before and after each gradient echo can be obtained in RHE owing to the SPI-encoded
region. Both acquisitions utilized a gradient measurement technique similar to
that proposed in Reference 1.
Data was acquired
in a human volunteer (IRB approved study) using a 3T PET/MR system (GE Signa
PET/MR) with the following scan parameters: 8µs hard RF pulse (flip angle=2 degree),
TR=3.6ms, Gmax or Greadout=14.85mT/m, and G
RF=0%.
In RHE, the number of frequency and SPI encodings were 5,000 and 4,145
(diameter of SPI encoding=21), respectively, and the total scan time was 33sec.
In FE-UTE, the number of frequency encodings was 5,000 or 8,878 with scan times=18sec
or 32sec. In FE-UTE four images were obtained at TE=80, 834, 1500, and 2200µs,
while in RHE seven images were obtained at TE=80, 728, 778, 1420, 1470, 2112,
and 2162µs. All images were reconstructed with a spatial resolution of 3x3x3mm using convolution gridding and iterative density compensation. Using
reconstructed images from later TEs excluding the UTE image, IDEAL
2
was performed to obtain fat and water separated images, and a short T2* image
was synthesized by subtracting fat and water images from the UTE image.
Results
Figure 2 shows fat image, water image, fat fraction, and synthesized
short T2* image obtained using RHE, FE-UTE with 5,000 radial spokes, and FE-UTE
with 8,978 radial spokes. In the brain, fat fraction was measured as 2.2 ± 1.1%, 11.8 ± 2.1%, and 12.6 ± 3.7% respectively for RHE, FE-UTE
with 5,000 spokes, and FE-UTE with 8,878 spokes. Note that RHE allows better
fat and water separation compared with FE-UTE as shown in the fat fraction map
where imperfect fat and water separation is seen as a speckled artifact, which
is also propagated into short T2* images. Figure 3 shows a resultant pseudo CT
images generated using fat, water, and short T2* images. Both RHE and FE-UTE
show reliable image segmentation, while mis-segmented, small specks are still
shown in the computed pseudo CT images in FE-UTE.
Discussion and Conclusion
Rapid multi-echo UTE imaging was demonstrated with clinically feasible
scan times for whole-body PET/MR (18~33 sec). The ability of IDEAL to
compensate for intravoxel partial volume effects enabled fat and water
separation at lower than conventional spatial resolutions for clinical MRI (3x3x3mm).
Furthermore, the use of a subtractive UTE-IDEAL signal model enabled computation
of a short T2* image via subtraction of long T2* water and fat components
inherently corrected for the intravoxel partial volume effects of each
component (short T2*, water, and fat). Note that MRAC is typically applied at
the native resolution of the PET system, and is generally lower (e.g.,
4.5x4.5x4.5mm) than that used here, thus supporting the use of rapid multi-echo
UTE imaging in this scheme. Finally, two UTE methods were compared, where RHE showed
better performance at fat and water separation (likely due to the SPI-encoded central
k-space region that allows time-constant phase at TE and reduced eddy current
effects). The improved performance of RHE-IDEAL was propagated to the computed
pseudo CT images.
Acknowledgements
We acknowledge support from NIH EB013770 and GE Healthcare.References
1. Jang et
al. (2015). Magn Reson Med. Epub ahead of print. PMID: 26381890.
2. Reeder SB et al, (2007). J Magn
Reson Imaging. 25(3):644-52. PMID: 17326087.