Daniel Gordon1, Allison Blake1, Liliana Ma1, Yoshihiro Tanaka1, Kelvin Chow1,2, Ning Jin3, Philip Greenland1, Rod Passman1, Daniel Kim1, and Michael Markl1
1Northwestern University, Chicago, IL, United States, 2Siemens Medical Solutions USA, Inc., Chicago, IL, United States, 3Siemens Medical Solutions USA, Inc., Cleveland, OH, United States
Synopsis
The
purpose of this study was to evaluate an efficient, free-breathing, whole-heart
4D flow CS protocol in a cohort of 21 healthy controls. The CS technique
was evaluated for internal self-consistency by comparing net flow through
various cardiac structures. In addition, cine imaging was performed and
used to calculate left ventricular (LV) stroke volume (SV) for comparison to
net flow in the ascending aorta. CS whole-heart 4D flow was acquired in 5:23 ± 0:51 minutes. Input
and output flow, and LV stroke volume and ascending aorta net volume with 4D
flow were significantly (p<0.05) correlated for all comparisons.
Introduction
4D flow MRI is currently limited by long scan
times and inefficient post-processing workflows. Recently, Ma et al.
demonstrated the feasibility of a 2 minute aortic protocol with less than 5
minutes of inline scanner reconstruction using a highly-accelerated compressed
sensing (CS) 4D flow prototype framework with Respiratory Controlled Adaptive
K-space Reordering (ReCAR) and retrospective cardiac gating.1 An efficient whole-heart imaging protocol without respiratory navigator
was also proposed using this framework.2 The
purpose of this study was to evaluate this efficient, free-breathing,
whole-heart 4D flow CS protocol in a larger cohort of 21 healthy controls.Methods
21 healthy controls (age=76.3±8.8
years, 11 female) underwent CS whole heart 4D flow MRI (temporal
resolution [41.28-41.52 ms], spatial resolution [2.3-2.5x2.3-2.8x2.8-3.3 mm3],
encoding velocity (venc) 120cm/s, FOV [400-480x333-400x120-180 mm3])
on a 1.5T MRI system (MAGNETOM Aera, Siemens Healthcare, Erlangen, Germany). Briefly,
the whole heart was imaged in a coronal orientation with a large field-of-view
and left-right phase encoding to minimize respiratory motion artifacts. Data analysis was conducted
using commercial 4D flow software (Circle cvi42, v5, Calgary, Canada). 4D flow
analysis followed a 4-step workflow (Figure 1): 1) Pre-processing with noise
masking and corrections for eddy current induced phase offset errors and
velocity aliasing; 2) thresholding and 3D segmentation of the whole
heart based on an automatically derived 3D PC-MR angiogram; 3) 4D flow
visualization using 3D streamlines and velocity maximum intensity projections
(MIP); and 4) quantification of net flow in 12 analysis planes at defined
anatomic locations (1: aortic root, 2-3: proximal and distal aortic
arch, 4: pulmonary trunk, 5-6: right and left pulmonary arteries, 7-8: superior
and inferior vena cava, and 9-12: four pulmonary veins proximal to left atrium). The CS technique was evaluated for
internal self-consistency by comparing net flow through various cardiac
structures including the superior and inferior caval veins, aorta, pulmonary
artery, left and right pulmonary branches, and all 4 pulmonary veins. Assuming
an absence of shunts in this healthy population, the conservation of mass
principle (e.g., expected Qp/Qs
ratio of 1, equal flow into and out of left and right ventricles, equal flow before and
after the pulmonary artery bifurcation) was applied as a
measure for flow quantification accuracy. In addition, standard short-axis
balanced steady-state free precession (bSSFP) cine imaging was performed and
used to calculate left ventricular (LV) stroke volume (SV) for comparison to
net flow in the ascending aorta.Results
Healthy control demographics
are summarized in Table 1. CS whole-heart 4D flow was acquired in 5:23 ± 0:51
minutes. Assuming all volunteers had four pulmonary veins, five analysis planes
were unable to be placed in the pulmonary veins in four patients out of 252
(2%) total analysis planes because they could not be seen. Input and output
flow were significantly (p<0.05) correlated for all comparisons with Pearson’s
r values ranging from 0.44-0.75 (Figure 2). Self-consistency was greatest
before/after the pulmonary artery bifurcation (pulmonary trunk vs. LPA + RPA, r
= 0.75, p<0.001) and for left vs right ventricular flow (pulmonary trunk vs.
ascending aorta, r = 0.68, p<0.001), with an average Qp/Qs (pulmonary
trunk/ascending aorta) ratio of 1.16 ± 0.19, near acceptable limits. LV stroke
volume and ascending aorta net volume with 4D flow were also found to be significantly
correlated (Figure 3; r = 0.71, p<0.001) but 4D flow net volumes were
significantly less than cine stroke volumes (54.9 ± 11.2 ml/cycle vs 68.2 ±
13.4 ml/cycle; p<0.001).Discussion
The proposed non-navigated whole heart CS 4D flow protocol
achieved approximately 5-minute scan times, a significant reduction from
conventional whole-heart 4D flow imaging durations of 15-20 minutes. Overall
image quality was adequate and allowed for efficient evaluation of whole heart
CS 4D flow. 4D flow had highest self-consistency for comparisons where the
imaging planes were spatially closest, suggesting potential residual background
phase offsets and associated inaccuracies on flow quantification. Slow
venous flow is sometimes difficult to visualize and larger differences in
comparisons involving the pulmonary and caval veins may be due to poor vessel
segmentation and underestimation. Net
flow in the ascending aorta with 4D flow was moderately correlated with cine
stroke volume, but with a significant underestimation that requires further
investigation. This study was primarily
limited by lack of a reference standard for vessels other than the aorta.
Future studies are warranted with comparison to patient populations and
comparison to RV stroke volumes and 2D flow.Conclusion
This study demonstrates the potential of fast, free-breathing, whole-heart 4D flow CS protocol,
evaluated using regional blood flow self-consistency measures
and comparison to conventional cine left ventricle stroke volume (SV) in a cohort of 21 healthy controls.Acknowledgements
Acknowledgements:
Grant support by American Heart Association (AHA) 18SFRN34110170, NIHLBI F30HL137279References
1. Ma
LE, Markl M, Chow K, et al. Aortic 4D flow MRI in 2 minutes using compressed
sensing, respiratory controlled adaptive k‐space reordering, and inline
reconstruction. Magnetic resonance in medicine. 2019;81(6):3675-3690.
2. Ma LE,
Jin N, Chow K, et al. Highly accelerated 4D flow with compressed sensing for
efficient evaluation of whole-heart hemodynamics. Proc of the International
Society for Magnetic Resonance in Medicine; May 11-17, 2019; Montreal, Canada. 2019;
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