Alina Psenicny1, Reza Hajhosseiny1, Giorgia Milotta2, Karl P Kunze3, Radhouene Neji1,3, Amedeo Chiribiri1, Pier Giorgio Masci1, Claudia Prieto1, and René M Botnar1
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
Synopsis
A
free-breathing water/fat motion corrected 3D grey blood phase sensitive
inversion recovery (PSIR) late gadolinium enhancement (LGE) technique that achieves
whole heart coverage and provided excellent agreement with 2D grey blood LGE
MRI has been recently proposed. However, contrast washout due to the relatively
long scan time of ~10 minutes may impact scar detection and limit spatial
resolution. We therefore sought to investigate the feasibility of high-resolution
slow infusion motion-corrected 3D grey blood PSIR-LGE in comparison with a
conventional clinically used breath-held 2D grey blood PSIR-LGE MRI technique. Here
we report first qualitative and quantitative results.
Introduction
A
free-breathing water/fat motion corrected 3D grey blood phase sensitive
inversion recovery (PSIR) late gadolinium enhancement (LGE) technique that
achieves whole heart coverage and provides excellent agreement with 2D grey
blood LGE MRI has been recently proposed1. This approach employs Dixon encoding to provide
complimentary fat images. However, contrast washout due to the relatively long
scan time of ~10 minutes may impact scar detection2 and limit the spatial resolution3. Moreover, this approach only corrected for 2D
translational motion, which may be insufficient in patients with highly
irregular breathing patterns and at higher image resolution. To address the
above limitations, we sought to investigate the feasibility of slow infusion 3D
grey blood LGE MRI in combination with 3D undersampled non-rigid motion
corrected reconstruction4. Images were acquired after slow infusion
injection of 0.15 mmol/kg GADOVIST contrast agent at 0.3 ml/s5. The proposed grey-blood 3D
LGE protocol was evaluated in 7 patients with suspected cardiovascular disease
and compared against a clinically used 2D breath hold grey-blood PSIR LGE
protocol. Here we report first qualitative and
quantitative results with respect to image quality. Methods
Acquisition & Reconstruction:
2D grey-blood PSIR images were
acquired ~6
minutes after slow infusion injection of 0.15 mmol/kg GADOVIST contrast
agent at 0.3 ml/s, while 3D grey-blood PSIR images were acquired ~12
minutes after slow infusion injection using the framework described in Figure
1. Two interleaved gradient echo volumes with 3 fold undersampling and two-point
Dixon encoding6 were acquired using an
undersampled variable-density Cartesian trajectory7. Image navigators (iNAVs)8 are integrated in the
sequence to enable 100% respiratory scan efficiency and predictable scan time.
The first volume is acquired with an IR pulse preceding the imaging sequence
and the inversion time is chosen to null the blood signal on the magnitude
reconstructed images. The second volume is acquired with no preparation pulse
and small flip angle. Beat-to-beat 2D translational motion correction
(foot-head and left-right) is applied to all four echoes and after respiratory
binning, with the FH motion estimated from iNAV, all four echoes are reconstructed
with non-rigid motion corrected iterative SENSE9 reconstruction. To separate
both volumes into water/fat images, a water/fat algorithm with magnitude based
B0 estimation and phase unwrapping (B0-NICEbd)10 is used. To store the signal polarity for each voxel,
an intermediate PSIR reconstruction between in-phase echoes of both acquired
volumes is performed. That polarity is then reapplied to the IR prepared water
volume to generate the water PSIR images.
Imaging &
Analysis:
Seven patients (6 males, 57±14
years-old) with suspected cardiovascular disease were imaged with the proposed high-resolution
3D grey-blood PSIR slow infusion approach on a 1.5T scanner (Siemens Magneton
Aera). Imaging parameters included: coronal orientation, FOV=320x320x104-128mm3,
1.5mm3 isotropic resolution, bandwidth=600Hz/px,
TR/TE1/TE2=6.41/2.38/4.76ms, FA=25° and 5° for IR prepared and non-prepared
volumes, 14 echoes for iNAV acquisition with FA=3°, acquisition time = 9.5±2.6min.
3D grey-blood PSIR images were compared to the breath-held 2D grey-blood PSIR
images both acquired after slow infusion. Image quality assessment was
performed using a 4-point Likert scale (1: non-diagnostic, 4: excellent
diagnostic quality). Results
Due to the isotropic resolution
of the grey-blood 3D PSIR LGE acquisition, images could be reformatted in short-axis,
2-chamber and 4-chamber orientations as seen on Figure 2 and Figure 3 for two representative
patients. Comparison between the grey-blood 2D PSIR sequence and the proposed grey-blood
3D PSIR approach can be seen in Figure 4 in short axis for 3 patients.
Comparable image quality can be observed between the 2D PSIR LGE and 3D PSIR
LGE images (Figure 5). Slightly lower image quality score can be observed in patients
P2, P3 and P6 with 3D PSIR LGE due to remaining water/fat swaps (P2) and motion
artifacts (P3 and P6). Improved image quality
was observed in patients P5 and P7. Motion artifacts can be seen on the apical short axis in P7 (Figure 4), which
may obscure the scar. That could be due to breath-holds, which are eliminated
with the proposed free-breathing technique.
Conclusion
The proposed high-resolution 3D
grey-blood PSIR slow infusion protocol has been successfully tested in seven
patients enabling scar visualisation in water PSIR volume while also providing high-resolution
fat images. We observed good agreement between the conventional 2D grey-blood
PSIR image and proposed 3D grey-blood slow infusion high-resolution PSIR images.
Image quality was comparable between the 2D PSIR LGE and 3D PSIR LGE images.
Future work will include investigating this protocol in a larger cohort of
patients and in comparison with bolus injection. Acknowledgements
This work was supported by EPSRC
(EP/L015226/1, EP/P032311/1, EP/P007619/1 and EP/P001009/1) and the
Wellcome/EPSRC Centre for Medical Engineering (NS/A000049/1).
References
1. Milotta, G. et al.
3D Whole-heart Motion Compensated Grey-blood Late Gadolinium Enhancement
Imaging. ISMRM 2020, Abstract 2045.
2. Munoz, C. et al.
Motion-corrected 3D whole-heart water-fat high-resolution late gadolinium
enhancement cardiovascular magnetic resonance imaging. J. Cardiovasc. Magn.
Reson. 22, 53 (2020).
3. Bi, X., Carr, J. C. &
Li, D. Whole-heart coronary magnetic resonance angiography at 3 Tesla in 5
minutes with slow infusion of Gd-BOPTA, a high-relaxivity clinical contrast
agent. Magn. Reson. Med. 58, 1–7 (2007).
4. Cruz, G., Atkinson, D.,
Henningsson, M., Botnar, R. M. & Prieto, C. Highly efficient nonrigid
motion-corrected 3D whole-heart coronary vessel wall imaging. Magn. Reson.
Med. 77, 1894–1908 (2017).
5. Tandon, A. et al. A
clinical combined gadobutrol bolus and slow infusion protocol enabling
angiography, inversion recovery whole heart, and late gadolinium enhancement
imaging in a single study. J. Cardiovasc. Magn. Reson. 18, 1–7
(2016).
6. Foley, J. R. J. et al.
Feasibility study of a single breath-hold, 3D mDIXON pulse sequence for late
gadolinium enhancement imaging of ischemic scar. J. Magn. Reson. Imaging
49, 1437–1445 (2019).
7. Prieto, C. et al.
Highly efficient respiratory motion compensated free-breathing coronary mra
using golden-step Cartesian acquisition. J. Magn. Reson. Imaging 41,
738–746 (2015).
8. Henningsson, M. et al.
Whole-heart coronary MR angiography with 2D self-navigated image
reconstruction. Magn. Reson. Med. 67, 437–445 (2012).
9. Pruessmann, K. P., Weiger,
M., Börnert, P. & Boesiger, P. Advances in sensitivity encoding with
arbitrary k -space trajectories. Magn. Reson. Med. 46, 638–651
(2001).
10. Liu, J., Peters, D. C. &
Drangova, M. Method of B0 mapping with magnitude-based correction for bipolar
two-point Dixon cardiac MRI. Magn. Reson. Med. 78, 1862–1869
(2017).