Janine M Lupo1, Javier Villanueva-Meyer1, Maryam Vareth1,2, David Shin3, Emma Bahroos1, Angela Jakary1, Brian Burns3, and Suchandrima Banerjee3
1Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Berkeley Institute for Data Science, UC Berkeley, Berkeley, CA, United States, 3GE Healthcare, Menlo Park, CA, United States
Synopsis
Compressed Sensing with parallel imaging can allow for an accelerated anatomical imaging protocol for imaging patients
with brain tumors, saving ~10
minutes of scan time over standard clinical protocols when incorporated into 3D
T2-FLAIR, and 3D T1-weighted pre- and post- contrast imaging. We first determined the optimal undersampling pattern and acceleration for CS T1-weighted IR-SPGR
sequences and then evaluated the quality of the images and lesion definition in patients with brain tumors. This shortened anatomical imaging protocol has
the potential to reduce the frequency of motion artifacts and can allow time
for more advanced, therapy specific imaging to be acquired.
Introduction
Under current practice, the anatomical imaging portion of clinical brain
tumor MR imaging protocols typically takes approximately 30 minutes to acquire
conventional 3D pre- and post-contrast T1-weighted IR-SPGR, T2-weighted FSE,
and T2-weighted FLAIR sequences with 2-fold accelerations using parallel
imaging. Reduction of this time by 5-10 minutes could greatly
improve clinical workflow by allowing time for therapy-specific advanced
imaging beyond standard diffusion and perfusion to be obtained within the
typical 45-minute clinical examination. To
achieve this, we explored
different view-ordering schemes with compressed sensing for pre- and post-contrast
3D gradient-echo based T1 imaging and evaluated a 3D CUBE T2 FLAIR1
with compressed sensing (CS)2 and in-plane ARC3 reconstruction to shorten
the two longest sequences in our anatomical protocol. The first goal of this
study was to determine the optimal undersampling pattern and acceleration for
CS T1-weighted IR-SPGR sequences in 4 healthy volunteers and 4 patients with
brain tumors. We then evaluated the feasibility of using the optimally accelerated
T1-weighted IR-SPGR images and previously optimized CS T2 FLAIR images in
clinical practice by comparing the image quality and volumes of segmented
contrast-enhancing and T2-hyperintensity lesions between the standard and 4-fold accelerated images acquired in the
same patient.Methods
All scans took place on a GE Premier
3T scanner equipped with 48-channel phased-array head coil.
Four healthy volunteers
were scanned with a 3D T1 sequence (BRAVO) that consisted of either a fully-sampled Cartesian with
linear view ordering scheme or segmented k-space acquisition approach where
acquisition segments were radially distributed in ky-kz space (radial fan beam
view ordering) as shown in Figure 1A. Other sequence parameters were
TI/TE/TR=450/3.1/8.1ms, flip angle=12o, BW=50, FOV=25.6cm,
matrix size=256x256x172, for 1mm3 isotropic resolution. A 2-fold
acceleration with ARC was applied in-plane, followed by CS reconstruction as
shown in Figure 1B. Likert-scale ratings
(1-5) of overall image quality and, when applicable, lesion conspicuity, were
evaluated by a neuro-radiologist who was blinded to the type of scan and was
presented the different fully and under-sampled images in a random order.
After initial optimization, 6 patients
with gliomas (grades II-IV) were then scanned with a protocol consisting of the
3D T2 FLAIR sequence (TI/TE/TR=1725/105/6002ms, FOV=25.6cm, matrix
size=256x256, 2-fold in-plane ARC acceleration, 1x1x1.2mm3
resolution, 6min) with and without an additional CS acceleration of 1.25,
4.3min) and post-contrast imaging with a conventional ARC-accelerated IR-SPGR
sequence (4:10min) or the radial fan beam T1-weighted IR-SPGR with CS
acceleration factor=1.3. For the
post-contrast imaging, half of the scans were performed with the CS-accelerated
acquisition first, while the order was switched in the other half of patients. Metrics
for comparison between the same image contrasts included volumes of T2 hyperintensity and contrast-enhancing
lesions in addition to the Likert ratings described above. Statistical analyses
included correlations between the volumes of each paired acquisition as well
as Wilcoxon signed-rank tests to evaluate any significant differences in Likert
ratings between the accelerated and conventional scans.Results
Optimization of
CS T1-weighted images with radial fan beam view order:
Figure 2 shows examples of different images for a patient scanned with
different CS acceleration factors. Likert ratings comparing the image quality
and lesion conspicuity are plotted in Figure 3. Overall image quality was highest for the radial fan beam sampling
pattern. Although a slight reduction in quality was observed with increasing CS
factor from 1 to 1.3, the nearly 4-fold reduction of scan time from 6:52
minutes to 1:43 outweighs the slight decrease in quality. Further increasing
the CS factor to 1.5 decreases the quality by another 20% while only saving 12
seconds. We found
that given the balance between additional time saved and image quality, a CS acceleration
factor of 1.3 within the fan beam sampling combined with a 2-fold acceleration
with ARC in-plane phase encode had the optimal image quality for reduction in scan
time.
Lesion
assessment with accelerated imaging protocol: Figure 4A compares the T2 hyperintensity lesion
volumes and contrast-enhancing lesion volumes (when present) between the
standard clinical and CS-accelerated acquisitions. An example of each for a
representative patient is shown in Figure 4B, where the CS+ARC scans were able
to capture both the full extent of a large T2 lesion and equally visualize a
very small region contrast enhancement. Lesion volumes were highly linear with
a slope of 1 (r=.99; p<0.00001) and no statistically significant difference
was observed in lesion volumes between the two acquisitions (p=0.9). Although
decreasing trends in lesion definition, internal contrast, and boundaries were
apparent with the ARC+CS acquisitions, none of these differences were
statistically significant (p=.125; Figure 5). In two patients, the ARC+CS
images received higher ratings than the ARC images alone because of motion
artifacts present in the longer scans.Conclusions
Compressed Sensing with ARC
can allow for an accelerated anatomical imaging protocol for imaging patients
with brain tumors, saving ~5 minutes over ARC-accelerated protocols and nearly 10
minutes of scan time over standard clinical protocols when incorporated into 3D
T2 FLAIR, and 3D T1-weighted pre- and post-contrast imaging. This shortened anatomical imaging protocol has
the potential to reduce the frequency of motion artifacts and can allow time
for more advanced, therapy-specific imaging to be acquired in these patients. Acknowledgements
Funding support for this research was provided by GE Healthcare.References
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