Suchandrima Banerjee1, Ken-pin Hwang2, Peng Lai1, Marcel Warntjes3, and Ajit Shankaranarayanan1
1Global MR Applications & Workflow, GE Healthcare, Menlo Park, CA, United States, 2Department of Imaging Physics, University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 3SyntheticMR AB, Linköping, Sweden
Synopsis
Several methods for
rapid simultaneous quantification of proton density, T1 and T2 maps from a
single acquisition have emerged recently, allowing for retrospective synthesis
of MR images with any desired contrast weighting from these maps. This work adapts
a 2D fast spin echo based mapping method to spine MRI where scans are typically
long and prone to artifacts. Outer volume suppression was incorporated to be able
to save time by encoding only the anatomy of interest without aliasing concerns.
Interleaved k-t sampling and virtual coil methods were explored to overcome limited
coil acceleration capability and to further increase scan productivity.
Introduction
Techniques
for simultaneous rapid mapping of
proton density (PD), T1, T2, as well as B0 and B1 maps from a single
acquisition enable retrospective synthesis of MR images of any desired contrast
weighting based on these parametric maps [1-3]. These techniques have shown
great potential for increasing scan productivity as well as maximizing the
quantitative information that can be obtained from a single scan. Magnetic
Resonance Image Compilation (MAGiC), a model based technique where the
parameters maps are fitted to data from a 2D fast spin echo based multi echo
multi saturation delay acquisition [2,4] has been successfully demonstrated in clinical
applications in the brain [5]. Such advanced imaging technique could
potentially benefit the area of spine MRI where exams tend to be long and
artifact-prone and typically include images with at least two or more different
contrast weightings (for example, T2w scans for cord pathology, T1/PD weighted scan
to investigate disc pathology/ligament
injury). Initial feasibility study of synthetic MRI in the spine showed challenges
posed by motion, signal starvation and limited coil acceleration capability [6].
In this work outer volume suppression (OVS) was incorporated into the acquisition
to be able to spatially encode only the anatomy of interest without aliasing
concerns. Reconstruction strategies for improving parallel imaging performance were
also explored. Method
In
the above mentioned MAGiC method, multiple saturation delay times and multiple
spin echo times are acquired in a single 2D FSE scan [2,4]. An outer volume
suppression module was incorporated into the sequence immediately before the 90°
excitation to minimize outer-volume T1 recovery (Fig. 1). The OVS module consisted
of three high-bandwidth (8kHz), quadratic-phase, very selective saturation
(VSS) RF pulses that were cosine-modulated [7,8] to simultaneously suppress
signal from either side of the phase field-of-view.
2 volunteers were scanned at the Lspine with
informed consent in accordance with IRB guidelines of the site on a 3T scanner
(GE MR 750 Waukesha, WI) using 4 elements of
a spine array (USA Instruments) and the modified MAGiC sequence with OVS
(FOV=26x20.8cm, BW=31 KHz, resolution: 1x1x4
mm3, 20 slices, scan time of 12:20 mins). Fully sampled data was acquired
to allow for retrospective investigation into optimal undersampling and
reconstruction strategy.
K-t
adaptive ARC (kat-ARC) [9] reconstruction was used on simulated staggered time
shifted sampling pattern across the temporal phases. Since only 4 receive coil
elements of
the
spine array were engaged in signal reception,
the virtual coil concept which utilizes conjugate coil symmetry was used
to improve parallel imaging performance [10]. T1 and T2 fitting to the reconstructed
images from different delay and echo times, computation of PD from the scaling
of the curves and further processing was performed by the SyMRI processing
pipeline [2] (SyntheticMR AB, Linköping, Sweden). Results and Discussion
Use
of OVS obviated the need for oversampling even when the PE direction was along
S/I leading to about 25% saving in scan time, in spite of slight increase in TR due to
specific absorption rate (SAR) constraints. Visual inspection did not show an
impact of OVS on parameter maps, which confirms the assumption that OVS shouldn’t
affect spins experiencing saturation recovery within the FOV. Images
were reconstructed from 2X time shifted k-t undersampled data, resulting in an
effective scan time of 6mins 10s. The virtual coil method reduced
aliasing artifacts and noise enhancement but also introduced slight blurring in some cases.
Further investigation is warranted to understand how background phase and
deviation from conjugate symmetry due to T2 decay affects reconstruction
performance in the virtual coil method. Representative synthetic T2w T1w and phase sensitive inversion recovery (PSIR) images
in the sagittal spine and synthetic T2w, T2w fluid inversion recovery (FLAIR)
and PDw images in the axial spine shown in Figure 2 demonstrate good image
quality. Conclusion
Synthetic
MRI with OVS technique was demonstrated in the lumbar spine with reasonable
image quality for several different contrast weightings. Even though images
with contrast weighting such as phase sensitive inversion recovery or double
inversion recovery are typically not included in a spine protocol, such images
derived from a single scan of ~ 6 mins could potentially be beneficial in
gray-white matter depiction or lesion visualization. The rFOV approach employed
by OVS can be beneficial for adapting synthetic MRI to deep seated anatomies
such as prostate. Receive arrays with better parallel imaging performance would
further improve scan productivity, and additional denoising of the
reconstructed images could potentially improve the parametric mapping and consequently
SNR of the derived images.Acknowledgements
NoneReferences
1. Deoni
SC, Peters TM and Rutt BK e, High-Resolution T1 and T2 Mapping of the Brain in
a Clinically Acceptable Time with DESPOT1 and DESPOT2, Magn Reson Med 2005; 53:237-41.
2. Warntjes
JB et al, Rapid Magnetic Resonance Quantification on the Brain Optimization for
Clinical Usage, Magn Reson Med 2008; 2:320-9.
3. Ma
D et al, Magnetic resonance fingerprinting, Nature 2013; 495:187-92.
4. Hwang
KP et al, Fat-water separation in a rapid quantitative mapping sequence, ISMRM
22nd Annual Meeting, Milan, Italy, 2014, #3201
5. Granberg
, Uppman M et al, Clinical Feasibility
of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation
Study, AJNR Am J Neuroradiol. 2016;37(6):1023-9.
6. Banerjee
S et al, Single Acquisition multiple contrast spine MRI using accelerated
quantitative mapping, ISMRM 24th Annual Meeting, Singapore, 2016, #4393
7. Schulte
R et al, Equi-ripple design of quadratic-phase RF pulses, Journal of Magnetic
Resonance 2004;166: 111–122
8. Banerjee
S, Han M et al, Reduced Field-Of-View Imaging with 3D Variable Flip Angle Fast
Spin Echo-Feasibility in MRI of Orbits. ISMRM 23rd Annual Meeting, Toronto,
Canada, 2015,#2309
9. Lai
P et al, Single breathhold three-dimensional cardiac cine MRI with whole
ventricular coverage and retrospective cardiac gating using kat ARC, , J
Cardiovasc Magn Reson. 2012; 14(Suppl 1): W69
10. Blaimer
M et al, Virtual Coil Concept for Improved Parallel MR Employing Conjugate
Symmetric Signals, Magnetic Resonance in Medicine 2009; 61:93–102