Ronald Mooiweer1, Sarah McElroy2, Giulio Ferrazzi3, Muhummad Sohaib Nazir2, Carl Evans2, Filippo Bosio2, Nabila Mughal2, Karl P Kunze4, Radhouene Neji4, Peter Speier5, Daniel Stäb6, Pier Giorgio Masci2, Reza Razavi2, Amedeo Chiribiri2, and Sébastien Roujol2
1King's College London, London, United Kingdom, 2School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3IRCCS San Camillo Hospital, Venice, Italy, 4MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 5Siemens Healthcare GmbH, Erlangen, Germany, 6MR Research Collaborations, Siemens Healthcare Limited, Melbourne, Australia
Synopsis
SMS-bSSFP combined with compressed sensing was successfully used
to acquire LGE images through the use of multiple single-shot dynamic
acquisitions in one breath-hold. Instead of 1 slice per breath-hold, 3 slices
could be acquired per breathhold.
Introduction
Late-gadolinium enhancement (LGE) imaging is the gold standard
technique for non-invasive assessment of myocardial scar in cardiac MR (CMR)
examinations (1). LGE imaging is typically performed
using an inversion recovery sequence with segmented readout during
breath-holding (2). Simultaneous multi-slice bSSFP acquisitions
can be combined with pseudorandom under-sampling and compressed sensing (CS)
reconstruction (SMS-bSSFP CS) to acquire multiple slices simultaneously using high
spatio-temporal acceleration factors (3,4). In this study we sought to investigate
the potential of SMS-bSSFP CS with high acceleration factor to enable LGE
imaging with increased spatial coverage per breathhold.Methods
Proposed sequence
A diagram of the proposed prototype LGE sequence is shown in
Figure 1. An inversion recovery ECG-triggered sequence is used with a 2-RR
acquisition scheme to reduce sensitivity to heartrate variations. The
acquisition module in a given heartbeat corresponds to a single-shot
acquisition of 3 slices using SMS-bSSFP with pseudorandom undersampling. Dynamic
acquisitions (N=6) were employed to allow multiple acquisitions of the same set
of 3 slices in one breathhold of 12 heartbeats.
The SMS-bSSFP module was performed with multiband (MB) factor 3 (4) and uses CAIPIRINHA encoding (5), GC-LOLA correction (6), and pseudo-random undersampling (3). The
pseudorandom undersampling scheme was extended from MB2 (3) and includes full sampling of a
central region and under-sampling of (peripheral)
k-space lines while maintaining the
required SMS-bSSFP phase cycling and k-space phase ramp. This pseudo-random
undersampling was applied to each dynamic independently to achieve temporal
incoherence. Images were reconstructed using a nonlinear iterative CS framework
with L1 regularisation in the spatial and temporal wavelet domain (3,7). A low spatial regularisation factor (5×10
-4)
and high temporal regularisation factor (0.1) were used.
Experimental evaluation Four patients were scanned at 1.5T (MAGNETOM Aera, Siemens
Healthcare, Erlangen, Germany), 10 minutes after injection of contrast. Inversion
times were individually determined to null the myocardial signal based on a
prior Look-Locker scan. Each patient was scanned with two LGE sequences, each
using a non-selective inversion-recovery 2 RR ECG-triggered bSSFP sequence in
short axis orientation and the following parameters:
- Proposed SMS-bSSFP sequence: multiband factor: 3,
in-plane under-sampling factor: 3.33, fully sampled k-space lines: 9, external
reference lines: 176, dynamics: 6, TR/TE: 3ms/1.27ms, BW: 801 Hz/pixel, flip
angle: 40°, matrix size: 240 (1.50x1.50 mm2 voxel size at 360x360mm2
FOV), slice thickness: 8mm, data acquisition window: 216 ms, dummy shots: 0, breathhold
duration: 12 heart beats, 3 slices per breathhold, 3 slices acquired.
- Conventional sequence for reference: TR/TE:
2.8ms/1.14ms, BW: 801 Hz/pixel, flip angle: 45°, matrix size: 208 (1.73x1.73 mm2
voxel size at 360x360mm2 FOV), slice thickness: 8mm, data
acquisition window: 191 ms, 3 shots per slice, 1 dummy shot, breathhold
duration: 8 heart beats, 1 slice per breathhold, 3 slices acquired.
For each subject, one matching mid-ventricular slice acquired with
each of the two techniques were used for quantitative comparison of sharpness (8) between the septum and the left
ventricular (LV) blood pool. In one subject, the proposed sequence was repeated
4 times to acquire a total of 12 slices for full LV coverage.
Results
Examples of images acquired using the proposed
and the reference method are shown in Figure 2. Similar visual quality was
observed between both techniques. The quantified sharpness of both methods was
comparable: 0.37±0.07mm-1 for the reference method vs 0.36±0.08mm-1
for the proposed approach. An example of full LV coverage in one subject, acquired
with 4 breathhold acquisitions of the proposed LGE sequence is shown in Figure
3.Discussion
The proposed LGE sequence is a promising option for the
accelerated acquisition of LGE images. For full LV coverage of 12 slices, 12
breathholds would be required in the conventional method, while 4 breathholds
would suffice with the proposed approach. Assessment of this technique in a larger
patient cohort, including patients with myocardial scar, is now warranted.Conclusion
SMS-bSSFP CS was successfully used to acquire LGE images through
the use of highly undersampled multiple single-shot dynamic acquisitions in one
breathhold. The proposed approach enables acquisition of 3 LGE slices in one
breathhold, providing a 3 times acceleration over the standard LGE technique and
no impact on myocardial sharpness.Acknowledgements
This work was supported by the Engineering and Physical Sciences
Research Council (EPSRC) grant (EP/R010935/1), the British Heart Foundation
(BHF) (PG/19/11/34243), the Wellcome EPSRC Centre for Medical Engineering at
King’s College London (WT 203148/Z/16/Z), the National Institute for Health
Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’
National Health Service (NHS) Foundation Trust and King’s College London, and
Siemens Healthineers. The views expressed are those of the authors and not
necessarily those of the NHS, the NIHR or the Department of Health.References
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