Zachary Borden1, Peng Lai2, Ann Shimakawa2, Alejandro Roldan-Alzate1,3, and Christopher J Francois1
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2GE Healthcare, Menlo Park, CA, United States, 3Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States
Synopsis
Congenital heart disease is a common disease process which benefits from MRI 4D flow analysis. In a total cavo-pulmonary connection model, Cartesion 4D Flow mapping using k-t acceleration and variable density signal averaging correlates well with US flow probe data and 2D PC measurements. The improved post processing efficiency of Cartesian acquisition may allow more widespread adoption of 4D flow technology for analyzing congenital heart disease.Purpose:
Measure
the accuracy of a novel, rapid Cartesian four-dimensional flow-sensitive
magnetic resonance imaging (4D Flow MRI) acquisition using ultrasound flow
probes and two-dimensional (2D) phase
contrast (PC) as reference standards in patient specific models of total
cavo-pulmonary connection (TCPC).
Background:
Congenital
heart disease (CHD) is a prevalent condition affecting almost 1% of all
births[1]. In these children,
characterization of flow patterns, anatomy, and function guides treatment and
prognosis. Cardiac MRI enables
evaluation of anatomic detail with same scan acquisition of 4D flow allowing
large volume hemodynamic analysis including flow patterns and function. Increasing the implementation of this
powerful technology will require short scan times and improved post processing
efficiency. A novel technique for time
resolved 3D velocity encoding using k-t acceleration and variable density
signal averaging Cartesian acquisition offers a method of 4D flow analysis
while addressing the inherent difficulties of Cartesian encoding including scan
time, spatial resolution, and motion.
The Cartesian acquisition is advantageous given improved post processing
time but is yet to be validated in phantoms and in the clinical setting. A TCPC connection model was utilized to
create a more complex flow pattern and more closely simulate in-vivo
conditions.
Methods:
Patient specific models: Three physical models of TCPC
(Figure 1) were created using 3D printing according to an IRB-approved and
HIPAA-compliant protocol. The TCPC was segmented from images acquired as part
of a clinical cardiac magnetic resonance angiography in MIMICs (Materialise,
Leuven, Belgium). The segmented TCPC volume was saved in STL format and printed
using a 3D printer. Polyethylene tubing was attached to the inlets and outlets
of the TCPC and then connected to a perfusion pump.
MRI: MRI was performed
on a clinical 3T scanner (GE Discovery MR 750, Waukesha, WI) with a 32-channel
phase array body coil. Each TCPC model was imaged separately secured in a
saline bath. Water was pumped through
the TCPC models at four different flow rates (1, 2, 3, and 4 L/min). 2D PC-MRI sequence and 4D Flow MRI were
performed at each flow rate.
k-t Accelerated Cartesian 4D Flow MRI: kat ARC [2], a
spatiotemporal-correlation-based autocalibrating parallel imaging method with
cardiac motion adaptive temporal window selection, was used for fast imaging.
As shown in Figure 1, data was collected with a variable density random (VDR)
k-t sampling scheme to improve overall reconstruction accuracy and reduce
coherent residual artifacts [3]. In reconstruction, a static tissue removal
scheme [3] was used to identify voxels with no flow or motion and remove signal
from such static voxels before kat ARC processing to reduce residual aliasing
artifacts at high acceleration.
Variable density signal averaging: Signal averaging scheme
was used to suppress respiratory motion. The number of excitations (NEX) varies
based on k-space location for scan efficiency, with linearly decreasing NEX
from the highest at center k-space toward outer k-space (Figure 2). Such NEX
scheme at near-center k-space is termed CNEX.
Analysis: 2D PC flow was quantified using ReportCard 2.0
(Advanced Workstation, GE Healthcare, Waukesha, WI). 4D flow MRI was analyzed
in Ensight (CEI Inc. Apex, NC). 2D planes through the Glenn, Fontan, LPA, and
RPA (Figure 3). Bland-Altman analysis
was performed to compare 4D Cartesian acquisition to flow sensor, 2D PC MRI,
and PC VIPR.
Results
and Discussion:
Bland
Altman analysis (Figure 4) reveals minimal differences between 2D flow and
Cartesian 4D flow measurements with bias of -0.087±0.19. Correlation of 2D PC
and 4D flow to US probe flow rate (Figure 5) confirms excellent correlation
between MRI flow measurements an US measured flow with slopes of 1.1941 L/min
and 1.183 L/min respectively (R2 of 0.9871 and 0.9365, respectively). These
findings confirm the in vitro accuracy of both 2D PC and 4D flow in patient
specific models of CHD. The improved post processing efficiency and limited
resolution and temporal trade-off of 4D flow using k-t acceleration and variable
density signal averaging promises to be a viable, widely used method for the
evaluation of complex CHD.
Conclusion:
4D
flow with k-t acceleration and variable density signal averaging demonstrates
excellent correlation with US probe flow measurements and negligible difference
with 2D PC measurements in a 3D printed TCPC model utilizing realistic
geometries for CHD. The benefits of
increased post-processing efficiency in Cartesian acquisition promises more
widespread use of 4D flow in treatment planning of CHD.
Acknowledgements
No acknowledgement found.References
1. Hoffman
J, Kaplan S. The incidence of Congenital Heart Disease. J Am College of
Cardiology 2002; 39:1890-1900.
2. Lai P,
ISMRM 2009:766
3. Lai P,
ISMRM 2015:4561