Karina Lopez1, Radhouene Neji1,2, Rahul Mukherjee1, John Whitaker1, Reza Razavi1, Camila Muñoz1, Claudia Prieto1, Sebastien Roujol1, and Rene Botnar1
1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
Synopsis
We have developed a
contrast-free free-breathing motion corrected (100% scan efficiency) 3D whole
heart imaging technique for measurement of myocardial magnetization
transfer ratio (MTR) maps. The sequence is based on the interleaved acquisition
of MT weighted and non-MT weighted datasets and beat-to-beat rigid motion
correction using 2D image navigators. Initial results in 4 healthy volunteers
have shown good image quality, enabling the visualisation of the coronary
arteries and MTR maps of healthy myocardium (MTR=41±7.2%). This approach promises
higher sensitivity for measuring changes in macromolecule content associated
with myocardial fibrosis than previous studies, justifying further
investigation in a patient cohort.
Purpose
Late Gadolinium Enhancement (LGE) MRI is the gold standard
technique for non-invasive assessment of focal myocardial fibrosis. However LGE
MRI is not quantitative, relies on the differential uptake of contrast agent in
healthy and diseased myocardium and therefore cannot assess diffuse fibrosis.
Native and post-contrast myocardial T1-mapping have been proposed to address
this limitation and enable the measurement of the extracellular volume (ECV),
which is a good imaging biomarker for collagen deposition and fibrosis.
However, ECV quantification requires the administration of an exogenous
contrast, which is a contraindication in patients with renal dysfunction. In
addition, T1 mapping requires the acquisition of multiple (typically 9-11) T1
weighted images, which leads to very long scan times if used for whole heart
coverage. Alternatively, magnetization-transfer (MT) contrast has proven to
have high sensitivity and specificity for collagen content in thrombus [1] and
human cartilage [2]. MT-ratio has also shown agreement with LGE in patients
with acute myocardial infarction [3].
Furthermore, MT-ratio using a 2D cine technique was compared
successfully to LGE [4]. In this work we developed and evaluated a non-contrast
free breathing and motion corrected 3D whole heart quantitative magnetization
transfer imaging approach for assessment of myocardial fibrosis. Methods
Proposed sequence: A free-breathing interleaved acquisition
of two segmented 3D balanced SSFP datasets were implemented (Figure 1). An
off-resonance MT preparation was applied at every other heartbeat to generate
one MT-weighted dataset (MT) and one reference dataset (Ref), respectively. 2D
image navigators (acquired during the ramp-up pulses of the 3D bSSFP readout)
were acquired at each heartbeat and used for 2D translational beat-to-beat
motion compensation and ensure 100% scan efficacy[5]. 3D Pixel-by-pixel
MT-ratio (MTR) maps were calculated as $$MTR=100*\frac{(Ref-MT)}{Ref}$$, following
image registration using a non-rigid fast free-form deformation
algorithm (NiftyReg) [6]. Off-resonance frequencies ΔF between 200 and 400 Hz
and pulse repetitions >7 were found optimal to provide maximum MTR in an
agar-based phantom with three different amounts of macromolecular tissue
content (Figure 2).
Four healthy volunteers and one patient were
scanned with the new prototype 3D MTR sequence on a 1.5T MR scanner (Magnetom
Aera, Siemens Healthcare, Erlangen, Germany): FoV=300x300 mm2, resolution=1.4x1.4x2
mm3, TR/TE=3.38/1.69 ms, flip angle 70°, bandwidth=1415 Hz/px. The following
MT pre-pulse parameters were used: Gaussian pulse, off-resonance frequency= 200
Hz, 10 pulse repetitions, flip angle=720°, pulse duration=20.48 ms and
bandwidth-time product=1.92. Average scan time was 12 minutes without image
acceleration and 100% scan efficiency.
Results
Motion correction on
MT-weighted datasets was successful in recovering features such as the coronary
arteries, myocardial boundaries and in increasing image quality in all
volunteers, as can be seen in a representative example in Figure 3. The average
MTR value in volunteers was [41±7.2] %. In the patient dataset, a region in
the left ventricle with values above 80% was observed (Figure 4d), which could
indicate the presence of fibrotic tissue. Figure 4[a-d] shows a comparison of coronal slices from the patient dataset with focally
increased MTR values (~80%) and coronal slices from one of the volunteers with
homogenously distributed MTR values around 40%.Discussion
We successfully developed a 3D whole-heart contrast-free
imaging sequence for MTR mapping, which was evaluated in four volunteers and
one patient. The novel sequence provides 1) beat-to-beat translational motion
correction with 100% scan efficiency and allows to acquire data during
free-breathing, 2) high MT contrast for visualization of both myocardium and
coronary arteries and 3) the sequence was found to be reproducible and does not
require any external contrast. MTR values were higher than found by Weber et.
al. (MTR=33±3 %) who employed a bSSFP sequence to generate MT contrast [3].
This is possibly due to the stronger saturation of the macromolecular pool with
the optimized off-resonant MT preparation. This is encouraging because it means
a potential increase in the sensitivity to changes in the macromolecular
content for example in diseased myocardium.
The results of this initial study are promising but a larger
number of patients is needed to validate the MTR contrast for the detection of
focal and diffuse fibrosis. The precision of the MTR values obtained in the
myocardium of healthy subjects might also be improved by a non-rigid motion
correction framework [7].Conclusion
We successfully demonstrated the use of a novel motion
corrected 3D whole-heart contrast-free interleaved MT sequence for the
measurement of MT ratio in healthy subjects and patients. Promising results in
the first patient warrant further investigation in a larger patient cohort.Acknowledgements
This work was supported by the EPSRC Centre for Doctoral
Training in Medical Imaging (EP/L015226/1), Siemens Healthcare GmbH and by
EPSRC grants EP/P001009/1 and EP/P007619/1.References
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