Haonan Wang1, Peng Lai2, Piero Ghedin1, Shreyas S Vasanawala3, Anja C.S Brau2, and El-Sayed Ibrahim1
1GE Healthcare, Waukesha, WI, United States, 2GE Healthcare, Menlo Park, CA, United States, 3Radiology, Stanford University, CA, United States
Synopsis
Currently, cine MRI is the gold standard for evaluating cardiac function.
Nevertheless, in today’s practice, slices need to be acquired at different
oblique, and 12-16 short-axis slices needs to be acquired for sufficient
ventricular coverage. The same limits apply to hemodynamics-related assessment
of valvular and vascular performance, for which multiple 2D oblique flow
measurements need to be acquired. In this abstract, we present a combined 3D
Cine/4D Flow accelerated cardiac imaging technique with cloud computing, which
significantly reduces the scan and processing time, reduces the scan’s
complexity, alleviates misregistration problems, and increases productivity.
Clinical Question
MRI cine imaging is the gold standard for evaluating cardiac function.
Nevertheless, conventional cardiac MRI suffers from limited patient access due
to its need of advanced operator skills, breathholding and lengthy scans. In
today’s practice, 2D slices needs to be acquired at different oblique views
(e.g. short axis, two-and four-chamber long axis, etc) and 12-16 short-axis
slices need to be collected with whole ventricular coverage for assessment of
functional parameters, e.g. motion and ejection fraction. The associated complicated
slice orientation, long scan time and multiple breath-holds compromise the
efficiency of the whole cardiac MRI exam. The same limits apply to
hemodynamics-related assessment of valvular and vascular performance, for which
multiple 2D oblique flow measurements need to be acquired. In addition to the complex
scan workflow, a significant amount of time is required for image
postprocessing and flow quantification.
In this abstract, we present a combined 3D Cine/4D Flow accelerated cardiac
imaging technique with cloud computing, a step toward streamlined and fast comprehensive
cardiac MRI.Impact
Currently, the cardiac MRI exam protocol takes about 60 minutes to
acquire sufficient anatomy and functional images to evaluate the cardiac
function. 1 Even with such long acquisition, whole heart coverage is still hard
to achieve, resulting in potential overlook of certain pathologies. The combined
3D cine/4D flow MRI workflow could potentially shorten this complex workflow to
a 10-minute acquisition with axial whole chest coverage. Based on this single
acquisition, anatomy, function, and flow information could be obtained simultaneously
with whole volume coverage and capability of arbitrary offline reformatting. This
efficient workflow could be applied on a wide spectrum of cardiac diseases,
including ischemic heart disease, cardiomyopathies, congenital heart disease,
and valvular diseases.Approach
The importance of the developed technique resides in its simplicity,
short scan time, and fast inline post-processing. To achieve these goals,
innovative techniques are implemented during acquisition, reconstruction, and
post-processing. First, conventional 2D cine and PC acquisitions at multiple oblique
planes are replaced by a single axial 3D velocity-encoding acquisition that
covers the whole heart with isotropic resolution. 2,3 Besides reducing scan time,
the new approach eliminates the need for prescribing several cardiac-specific
anatomical planes and allows for
reconstructing planes with arbitrary orientation during postprocessing.
Second, the scan is accelerated using variable density k-t acceleration
and motion is suppressed using an acquisition-efficient method with signal
averaging at central k-space. In reconstruction, kat ARC, a spatiotemporal-correlation-based
autocalibrating parallel imaging method with motion-adaptive temporal window
selection, is applied. 4,5 Also, a static tissue removal method is used to
eliminate chest wall signal before kat ARC unaliasing to reduce residual
artifacts at high acceleration. The advanced sampling scheme and reconstruction
technique combined provides a high acceleration factor of 8 such that a whole heart coverage could be achieved in as fast as sub 8-minute
free-breathing scan. 6 Finally, the
generated huge amount of images (~ 20GB) is processed on the cloud with GPU
processing for real-time visualization and analysis of both function and flow information.
The powerful online platform could provide automatic
segmentation, flow quantification, and a variety of visualization options, including
flow streamline tracing, flow vectors, and color-coded velocity map. The
processed data is then displayed superimposed on the anatomical images, where
the operator has the option of interactively changing the display orientation,
visualization method, and generated parameters. To evaluated the proposed method, 20 pediatric
subjects were scanned on GE 3T (MR750) using 32-channel cardiac coil with intravenous
Ferumoxytol. Imaging parameters were: 2x2mm2 in plane resolution and
2 mm slice thickness. Typical temporal resolution is about 60ms for a heart rate of 60
beats/min.Gains and Losses
The main advantage of
presented technique is its capability of simultaneously providing both
functional and hemodynamic information about the cardiovascular system with
significant reduction in scan and processing time. The 3D cine (magnitude) images
are used to measure various global, e.g. ejection fraction, and regional, e.g.
strain (using feature tracking techniques), functional parameters, while the
velocity-encoded phase images are used to measure various hemodynamic
parameters, e.g. flow volume, velocity, regurgitation rate, and different flow timings.
The capability of analyzing the results while the patient is still on the table
allows for addressing patient-specific questions and adding necessary imaging
sequences as needed based on a case-by-case scenario. The significant reduction
in scan time and lack of breath-holding makes the cardiac MRI exam more
tolerable to the patient and accessible to a wider group of patients, including
those who are not able to hold their breath. Finally, the reduced exam time would
help reduce exam cost and improve productivity in general. Acknowledgements
No acknowledgement found.References
[1] Kramer C,
JCMR 2013; [2] Pelc NJ, MRQ 1991; [3] Markl M, JMRI 2007; [4] Lai P, ISMRM 2009; [5]
Lai P, ISMRM 2014; [6] Lai P, JCMR 2015