Zijing Zhang1,2, Congyu Liao2, Jaejin Cho2, Mary Kate Manhard2, Wei-Ching Lo3, Jinmin Xu1,2, Kawin Setsomepop2,4,5, Huafeng Liu1, and Berkin Bilgic2,4
1State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China, 2Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts general hospital, Charlestown, MA, United States, 3Siemens Medical Solutions, Boston, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
Synopsis
We propose dSAGE, a new EPI sequence
for diffusion, Spin- and Gradient-echo imaging. We exploit unused sequence time
during the b=0 acquisition in a diffusion experiment to collect additional T2*-
and T2'-weighted contrasts with high in-plane resolution for free.
We use a multi-shot acquisition with high in-plane acceleration to achieve 1x1
mm2 resolution, and alternate the phase-encoding polarities across
the shots to eliminate geometric distortion using the navigator-free Blip Up-Down
Acquisition(BUDA) technique(1). We demonstrate the ability of BUDA-dSAGE to provide whole-brain,
distortion-free, high-SNR images with T2*-, T2'-, T2-weighted
contrasts and 3-direction dMRI and apparent diffusion coefficient (ADC) maps in
1-minute.
Introduction
EPI can provide whole-brain coverage
rapidly, but does not lend itself to high in-plane resolution imaging due to severe
geometric distortion, voxel pile-ups and T2*- or T2-related
blurring. This has impaired its utility in high-resolution structural imaging
and limited its application to functional or diffusion (dMRI) at lower in-plane
resolutions of 1.5-2 mm. Sensitivity encoding allows for up to Rinplane=4
acceleration to mitigate, but not eliminate these artifacts. Recent
developments in navigator-free multi-shot EPI reconstruction has allowed for Rinplane8 (2,3), but this requires several shots of data for adequate image quality
and fails to eliminate distortion.
An alternative strategy is to collect multiple
shots with alternating phase-encoding polarities, and reconstruct these jointly
using field map information in the forward model as in Hybrid-SENSE (4). BUDA incorporates Hankel structured low-rank regularization into
Hybrid-SENSE to eliminate the need for phase navigation (1), and can provide distortion-free dMRI at high in-plane acceleration
with minimum T2-blurring.
With dSAGE, we propose to utilize the empty
sequence time during the b=0 image acquisition. We add two additional EPI
readouts to exploit the dead time created by the absence of diffusion
gradients. This provides a T2*- and a T2’-weighted
contrast image without additional scan time. In essence, we replace the
simple b=0 acquisition with a spin- and gradient-echo (SAGE) sequence (5). Combining this with 4-shot BUDA encoding at
high Rinplane allows us to create a distortion-free, 1-minute
clinical scan at high in-plane resolution (1x1x4 mm3) with
gradient-, spin-, and mixed-echo images as well as 3-direction dMRI. Methods
Fig1 shows the proposed prototype sequence diagram
where two additional readouts, with gradient and mixed gradient- spin echo
contrasts, are added in the unused sequence time during the b=0 acquisition.
Four shots of EPI are acquired for each diffusion weighted or b=0 image, where
the alternating shots are sampled with opposite phase-encoding polarities. This
way, two blip-up and two -down shots are collected for BUDA reconstruction.
Acquisition:
Data were collected on a 3T Siemens Prisma (MAGNETOM Prisma, Siemens Healthcare, Erlangen, Germany) using 32-channel reception with FOV
= 220×220×128mm. 1×1×4mm3 resolution b=1000s/mm2 diffusion
data were acquired at Rinplane=6 with 4-shots using TE/TR=68/3500ms.
The diffusion gradients were applied along the x-, y- and z-directions.
b=0 acquisition was made at Rinplane=9
and partial Fourier=6/8, which provided two additional echoes. 4-shots were
acquired at the TEs = [14 48 68]ms.
Reconstruction: For spin-echo contrast where shot-to-shot phase variations are
minimal due to the refocusing pulse, we first sum the k-space data for the two
blip-up and the two blip-down shots and perform SENSE reconstruction to
generate interim blip-up and blip-down images.
We then estimate a field map using topup
(6) and incorporate this in the joint BUDA reconstruction of the
4-shots in the other contrasts:
$$min_x \sum_{t=1}^{N_{s}}{ \left \| {F_{t}W_{t}Cx_{x}-d_{t}} \right\|}_2^2 + \lambda \left \| {H(x)} \right\|_*$$
Where Ft is the
undersampled Fourier operator in shot t, Wt is distortion
operator in shot t, C is sensitivity map from ESPIRIT [2], and dt
is the k-space data of each shot. ||H(x)||* is Hankel structured
low-rank constraints.
The
3-direction diffusion averaged DWI and ADC maps were calculated after the joint
BUDA reconstruction.Results
Figure 3 shows distortion-free
high-resolution multi-contrast images including T2*-, T2- and T2-weighted
images.
Figure 4(a) shows distortion-free dMRI obtained
with diffusion gradients applied along the x-, y- and z-directions. The
averaged dwi images and ADC maps are shown in Figure4(b).
The total acquisition time for all
contrasts was 56s, plus a 2s calibration scan for coil sensitivities. Discussion & Conclusion
We demonstrated distortion-free multi-contrast clinical
images and dMRI at high in-plane resolution from a single, 1-minute scan. High
geometric fidelity of the images can be appreciated in the lower slices in Figs
3 and 4. As the shot-to-shot variations are higher in dMRI, we limited the
acceleration to Rinplane=6 to facilitate high quality
reconstruction. Structural images supported yet higher (Rinplane=9)
acceleration with 6/8 partial Fourier, which minimized their readout duration
and allowed them to fit in the unused sequence time. As in single-shot SAGE
imaging, we anticipate that these echoes will lend themselves to T2
and T2* parameter mapping, further improving the utility of this
sequence.Acknowledgements
This work is supported in part by the National Natural Science Foundation of China (No: U1809204, 61525106, 61427807, 61701436), by the National Key Technology Research and Development Program of China (No: 2017YFE0104000, 2016YFC1300302), and by Shenzhen Innovation Funding (No: JCYJ20170818164343304, JCYJ20170816172431715), and by:NIBIB Award Number: P41 EB015896, R01 EB017337, R01 EB019437, R01 EB020613 and U01 EB025162;NIMH, Award Number: R01 MH116173 and R24 MH106096;Shared instrumentation grants S10-RR023401 and S10- RR023043; andNVIDIA GPU grants. Zijing Zhang is supportedby the China Scholarship Council for 2-years study at Massachusetts General Hospital.References
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