Jessica A.M. Bastiaansen1, Lorenzo Di Sopra1, Giulia Ginami2, Hugues Vinzant1, Juan F Iglesias3, Sophie Degrauwe3, Samuel Rotman3, Davide Piccini1,4, Ruud B Van Heeswijk1,5, Roger Hullin3, Jérôme Yerly1,5, and Matthias Stuber1,5
1Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2School of Biomedical Engineering and Imaging Sciences, King’s College London, Lausanne, Switzerland, 3Cardiology Service, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 5Center for Biomedical Imaging, Lausanne University Hospital (CHUV), Lausanne, Switzerland
Synopsis
The purpose of this study was to investigate coronary magnetic
resonance angiography (MRA) at 3T as a possible alternative to invasive X-ray
coronary angiography for the visualization of proximal and mid segments of the
coronary arterial system in heart transplant recipients. Therefore, a lipid-insensitive
binomial off-resonance excitation (LIBRE) pulse was optimized and combined with
a 3D radial whole-heart sequence. Respiratory-self-navigated MRA was performed at 3T in heart transplant
recipients during and after Gd infusion, and was compared with respiratory-motion compensation using compressed sensing (CS) to define the preferred acquisition
and reconstruction protocol in this patient group.
Background
In heart transplant patients, there is a high prevalence of cardiac
allograft vasculopathy (CAV), which is a major contributor to subsequent heart failure.
Usually, CAV is detected on X-ray coronary angiography. The purpose of this
study was to investigate coronary magnetic resonance angiography (MRA) at 3T as
a possible alternative to invasive X-ray coronary angiography for the
visualization of proximal and mid segments of the coronary arterial system. To
this end, a lipid-insensitive binomial off-resonance excitation (LIBRE) pulse [1]
was optimized and combined with a 3D radial whole heart sequence [2]. Respiratory-self-navigated
MRA was performed at 3T in heart transplant recipients during and after Gd
infusion, and was compared with respiratory motion compensation using
compressed sensing (CS) to define the preferred acquisition and reconstruction
protocol in this patient group.Materials and Methods
LIBRE optimization: To provide robust fat suppression, a LIBRE pulse
was implemented and optimized for a pulse duration of 2τ=2.2ms through Bloch
equation simulations as described in [1]. LIBRE fat suppression was measured in
phantom and volunteer (legs) experiments, and compared with conventional fat
suppression techniques (fat saturation (FS) and 1-180°-1 water excitation (WE)).
Experiments were performed using a prototype 3D radial GRE acquisition with a segmented
phyllotaxis trajectory [2], an isotropic voxel size (1.1mm3), and
T2-preparation [3], on a clinical 3T MRI system (MAGNETOM Prisma, Siemens).
Patient study: Cardiac allograft transplant patients (n=23) ≥6 months after transplantation were recruited and underwent their
routine clinical exams as well as cardiac MR. Free-breathing ECG-triggered
respiratory-self-navigated MRA [2] with LIBRE pulses was performed during and
after gadolinium contrast agent injection [4, 5] with above described sequence
(acquisition time ~8-10 min). Coronary X-ray angiograms were visually compared
with MRA.
Motion compensation: Each acquired segment was preceded by one
readout oriented along the superior-inferior (SI) direction. To compensate for respiratory
motion both the slow infusion and the late enhancement datasets were
reconstructed with 1D self-navigation [2], a method that uses the SI image projection as motion reference [2], as well as with a
respiratory-motion-resolved reconstruction that uses CS [6] and a previously
presented automated self-gated (SG) method of the respiratory signal to resolve
the data into 4 respiratory bins [7]. The respiratory phase with sharpest
boundaries between the liver-lung interface was selected for data analysis, as
assessed by visual inspection.
Data analysis: Fat suppression using LIBRE was evaluated with a
paired Student’s t-test on phantom and volunteer data. In patients, coronary
vessel sharpness and length [8] was quantified in all acquired and
reconstructed data (four 3D whole-heart datasets per patient). Two-way ANOVA with
repeated measures was performed, with “contrast” and “motion-compensation
method” as factorials, and followed by a two-tailed Student’s t-test for paired
data as post-hoc test. p<0.05 was considered statistically significant.Results and Discussion
LIBRE optimization: Simulations showed that LIBRE provided robust
nulling of the fat signal around a frequency of 470Hz, assuming a resonance
frequency of fat at -440Hz (Fig. 1A). Phantom experiments showed a fat SNR
decrease to 8.5±0.9 using LIBRE (with RF frequency of 480Hz) compared with 48.1±3.4
(FS) and 31.8±2.1 (WE) (Fig 1B). Volunteer experiments showed a decreased fat
SNR of 9.9±2.2 using LIBRE compared with 25.1±6.1 (WE) and 26.6±6.9 (FS) (Fig.
1C). The decreased SNR in muscle tissue using the FS sequence can be mainly
attributed to an increase in the noise in this 3D radial sequence (Fig. 1C).
Patient study: The end-expiration phase typically showed the
sharpest lung/liver interface (Fig. 2). Coronary reformats from MRA matched
with irregularities observed on X-ray angiograms (Fig. 3). The second MRA (post-contrast)
could not be acquired in 9/23 patients due to time constraints. Coronary
reformats show improved data quality when CS was used (Fig. 4A). RCA vessel sharpness was significantly
improved using CS, both during slow-infusion and post-contrast (From 32.5% to
49.1% and 33.0% till 43.8%, Fig. 4B). Vessel length measurements did not show
significant differences across techniques (Fig. 4C). Respiratory-self-navigation performs a motion-correction along one dimension
(superior-inferior direction), however, respiratory-motion-resolved
reconstruction may simultaneously compensate for motion in multiple dimensions resulting
in improved vessel conspicuity confirming the findings in [6].
Interestingly, when comparing the self-navigated reconstruction of the slow-infusion
with post-contrast images, vessel sharpness did not significantly change.
However, the motion-resolved reconstruction showed the highest average vessel
sharpness in the slow-infusion images (49.1%, Fig. 4B).Conclusions
To the best of our knowledge, this is the
first report of self-navigated whole heart imaging during and post slow Gd
infusion in heart transplant recipients at 3T. Coronary artery visualization was
significantly improved when CS was applied on data acquired during slow
infusion.Acknowledgements
No acknowledgement found.References
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