Ross W. Mair1,2, Jared A. Nielsen1,3,4, and Randy L. Buckner1,2,3,4
1Center for Brain Science, Harvard University, Cambridge, MA, United States, 2AA Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Psychology, Harvard University, Cambridge, MA, United States, 4Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA, United States
Synopsis
A new readout method for 3D
scans, wave-CAIPI, with low g-factor characteristics that enable high degrees
of acceleration, can reduce the scan time for a 1.0 mm MPRAGE to under 90
seconds. We have validated the morphometrics from this rapid wave-MPRAGE with
those from conventional MPRAGE scans. The wave-MPRAGE sequence produces a lower-SNR
image of the brain, but surfaces created from the wave images match those from
the conventional scans well. In morphometric data, a bias is seen toward the
conventional MPRAGE scans in average cortical thickness and estimated total
intra-cranial volume, however values for total brain volume are similar.
Introduction
Automated MRI-derived
measurements of human brain volumes from anatomical scans provide novel
insights into normal and abnormal neuroanatomy. However, traditionally, these
scans have taken 6-10 minutes to acquire, often being repeated in the case of
subject motion, or as a precaution against motion. Our group has studied morphometric results from shorter scans employing lower resolution and/or
higher in-plane acceleration1-3, however conventional in-plane acceleration (GRAPPA) has decreasing time-benefits above 4-fold acceleration, while drastically
reducing image SNR due to g-factor noise amplification. In recent times, a new readout
method for 3D Cartesian scans has been developed. Known generally as
wave-CAIPI, it employs oscillating gradients in both phase-encode directions
yielding a corkscrew trajectory through k-space, while low g-factor
characteristics enable high degrees of acceleration in both directions4.
This readout has now been paired with a conventional MPRAGE preparation,
enabling 1 mm isotropic T1-weighted
images to be acquired in less than 90 seconds5. Here, we validate the
morphometrics from this rapid wave-MPRAGE scan with those from conventional
MPRAGE scans with 3D Cartesian acquisition.Methods
All measurements were
performed using a 3.0 T MRI scanner (Siemens Prisma). 6 subjects (mean: 26.5
years, 5 female) were scanned with the product 32-channel head coil. Each
session included 4 MPRAGE scans acquired with recommended FreeSurfer parameters
(6:12 min, TR/TI/TE=2530/1100/2.9 ms, matrix 256×256×176, resolution=1 mm,
GRAPPA R=2). 20 wave-MPRAGE scans were acquired (1:16 min, CAIPI acceleration
R=3x3, TE=3.3 ms, other parameters as above). To examine variable acceleration
levels, 2 additional scans with 2 other protocols were acquired (MPRAGE: 3:22
min, TR/TE=2200/3.1 ms, GRAPPA R=4; wave-MPRAGE: 2:45 min, CAIPI acceleration
R=2x2) Siemens WIP sequence 1084 was used to acquire the wave-MPRAGE scans. Images
were analyzed using FreeSurfer6 v5.3 after all the scans from each subject
were aligned using the FreeSurfer robust registration tool7. An automated
parcellation of the cortex, subcortical and white matter structures was
performed. Correlation plots were made for the thickness and volume of each of
the 34 regions of the Desikan-Killiany atlas8. Total brain volume (TBV), average
cortical thickness and intracranial volume (eTIV) were plotted for all scans
with all subjects.Results
Fig. 1 shows example
images, with FreeSurfer-generated pial and white-matter surfaces superimposed,
of a 6:12 min conventional MPRAGE scan, and a single 1:16 min wave-MPRAGE scan.
Although the SNR is noticeably lower in the wave-MPRAGE scan, the surfaces are
comparable. Fig. 2 shows image SNR, determined from mean signal intensity and
standard-deviation in ROIs of uniform intensity, for the different scans with
different levels of acceleration. GRAPPA acceleration up to R=8 was employed in
this initial trial for comparison to the total R=9 of the wave-MPRAGE scan. At
R=9, the wave-MPRAGE scans maintain 50-60% of the SNR of the R=2 MPRAGE. Fig. 3
shows correlation of the cortical thickness and gray matter volume for all 34
regions of the Desikan-Killiany atlas as determined from a single conventional
MPRAGE and a wave-MPRAGE scan. Within-subject correlations are high (r2>0.94
for all comparisons). However, a noticeable bias in absolute values between the
conventional and wave scans was observed. Fig. 4 shows total brain volume,
average cortical thickness and eTIV for all scans in the session with two of
the six subjects. Cortical thickness and eTIV were consistently lower with the
wave 1:16 min scan than with the 6:12 min conventional MPRAGE, and both wave
protocols in general gave lower values than the conventional scans. However,
for TBV, the differences were less distinct.Discussion
The wave-MPRAGE sequence
with R=3x3 acceleration produces a high-quality T1-weighted image of the brain in under 90 seconds.
Despite the noticeable decrease in SNR vs a conventional 6-minute MPRAGE, the
surfaces created from the wave images match those from the conventional scans
well. Comparing SNR at similar acceleration levels (and scan time), the
wave-MPRAGE produces images with lower SNR at low acceleration, is similar at
4-fold acceleration, but the low g-factor noise amplification results in much
higher SNR at very high acceleration levels. While a bias is seen toward the
conventional MPRAGE scans in average cortical thickness and eTIV, the actual
morphometric values in a living subject are unknown. This implies that care
should be taken when combining morphometric data across studies and sites, but
does not necessarily imply one value is wrong. The rapid acquisition time of
the wave-MPRAGE allows the acquisition of multiple images in the same time as a
conventional scan, to signal average, or average the surfaces, and so reduce
the standard error in morphometric values over that from a single conventional
MPRAGE scan. Additionally, the rapid acquisition time inherently ameliorates
the effects of significant subject motion.Acknowledgements
Harvard Center for Brain
Science; NIH Shared Instrumentation Grant S10OD020039; NIH Grants P41-RR14075,
U24-RR021382. Berkin Bilgic, Steve Cauley, Kawin Setsompop (MGH) and Yulin
Chang (Siemens) for making the WIP sequence available.References
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