Synopsis
Conventional flow-sensitive magnetic resonance imaging
(MRI) using two-dimensional (2D) slice selection, cardiac gating, and phase
contrast (PC) velocity encoding in one direction is an excellent quantitative
alternative to measure blood flow in different vascular territories.
Recent advances allow for the acquisition of MRI data
sets with three-directional velocity encoding over a 3D volume throughout the
cardiac cycle in clinically feasible scan times of 20 minutes and less. This presentation will discuss clinical applications of 2D and 4D flow MRI.Highlights
·
Standard 2D phase contrast magnetic resonance
imaging (PC – MRI) is normally used to quantify blood flow in the heart, through
heart valves and in great vessels.
·
Comprehensive hemodynamic assessment is possible
with 4D Flow MRI.
·
Biomarkers such as pressure gradients, vessel
compliance, and wall shear stress can assist in early diagnosis, treatment
planning, and understanding normal physiology.
·
4D Flow MRI is used in research and in some
instances in clinical practice.
Target Audience
Those with interest in methodology
and clinical applications of ‘cutting edge’ flow MRI including physicians and
scientists, current users of cardiovascular MR, with basic knowledge in cardiac
MRI.
Objectives
· To review recent advances in phase contrast
MRI methodology that allow for 2D and 4D Flow MRI acquisitions for clinical
applications.
· To review potential limitations and potential
sources of errors for velocity mapping and parameters derived from those
measurements.
· To provide an overview of comprehensive hemodynamics
assessment of different vascular territories and pathologies using 4D flow MRI.
Purpose
Conventional
flow-sensitive magnetic resonance imaging (MRI) using two-dimensional (2D)
slice selection, cardiac gating, and phase contrast (PC) velocity encoding in
one direction is an excellent quantitative alternative to measure blood flow in
different vascular territories. However, acquisition of numerous 2D planes
needed for comprehensive flow evaluation of cardiovascular pathologies is not
feasible in a clinical scenario. Recent advances allow for the acquisition of
MRI data sets with three-directional velocity encoding over a 3D volume
throughout the cardiac cycle in clinically feasible scan times of 20 minutes
and less (Fig1). This approach, frequently referred to as ‘4D Flow MRI’ or ‘4D MR
Flow’ provides a new platform for comprehensive hemodynamic assessment of
vascular territories with wide ranging potential applications in research and
clinical practice. This presentation will review various clinical applications
of both 2D and 4D flow MRI flow measurements.
Methods
2D
phase contrast MRI is widely used clinically for the noninvasive assessment of
flow volumes and peak velocities in a single plane with one-directional
velocity encoding [1]. Substantial improvements in MR hardware,
sequence design, and image reconstruction have facilitated accelerated cardiovascular
imaging. With those improvements, it is now possible to capture volumetric velocity
fields with three-directional velocity encoding over a 3D volume throughout the
cardiac cycle in clinically feasible scan times [2]. Data sets obtained from such examinations
can provide information on the anatomy, vascular lumen, and hemodynamic
information from a single acquisition, all inherently co-registered and
obtained in 5-20 minute acquisitions, depending on cardiac and respiratory
gating needs, spatial and temporal resolution, and volume coverage [3].
The
reconstructed datasets are large in size since they contain scalar data volumes
on velocities in x, y, and z as well as the averaged magnitude for all phases
of the cardiac cycle, thereby providing unique opportunities and challenges. The
data complexity poses a significant burden on the data processing and
visualization chain. However, the simultaneous capture of vascular anatomy and
hemodynamics provide the basis for the direct derivation of hemodynamic
parameters that play a role in numerous vascular diseases.
Results
4D Flow MRI has been
used for non-contrast enhanced MRA [4] as well as for the characterization of blood
flow in various vascular territories including the head, neck, aorta, renal,
hepatic, and peripheral vasculature as well as with the atria and ventricle [5]. Not only can this approach possibly reduce
total scan time over multiple double oblique 2D PC MR measurements in complex
vascular anatomies, but it also allows for the derivation of hemodynamic
parameters beyond velocity and flow measurements. Some examples of qualitative
parameters include streamlines and vorticity and helicity [6, 7] while quantitative parameters include the
calculation of pressure gradients
across vessel narrowings to establish hemodynamic significance [8], pulse wave
velocity for the assessment of vessel wall stiffness [9], wall shear stress
for assessing stimulus for vessel wall remodeling [10], kinetic energy
measures for assessing loads and efficiency [11], turbulence
intensity [12, 13] and others.
Discussion and Conclusions
The methods discussed here have the
potential to significantly change the way flow imaging is clinically conducted
as well as expand the indications for velocity sensitive imaging by providing unique
insights into the velocity fields and additional functional parameters. These
noninvasive measures can possibly enhance diagnosis, therapy planning, and
therapy monitoring in a wide range of cardiovascular imaging including all major
vascular territories including the heart.
In contrast to frequently used computational fluid dynamic (CFD)
simulations [14], the parameters
can be calculated directly from the measured dynamic velocity fields. As such,
these biomarkers may well prove useful in the early stages of diagnosis of
cardiovascular disease, and the decision making process for therapy and long
term monitoring of the disease and follow up. There is a wide range of
potential applications including aneurysms, stenoses,
arterio-venous-malformations (AVMs), organ transplants, cardiac disease,
congenital heart disease, stroke, and others [15].
However, to date these concepts have
been mainly investigated in smaller clinical studies and clinical efficacy has
to be demonstrated in larger, multi-center trials. Current technical limitations
include the lack of product sequences for data acquisition as well as intuitive
post-processing packages, which are crucial for successful clinical adaptation
of these techniques [16].
Acknowledgements
We acknowledge support from the NIH (R01 DK088925) the AHA (14SDG19690010), UW Radiology R&D and GE Healthcare.References
[1] J. Lotz, C.
Meier, A. Leppert, and M. Galanski, “Cardiovascular flow measurement with
phase-contrast MR imaging: basic facts and implementation,” Radiographics, vol. 22, no. 3, pp.
651-71, May-Jun, 2002.
[2] L. Wigstrom, L. Sjoqvist, and B. Wranne, “Temporally resolved
3D phase-contrast imaging,” Magn Reson
Med, vol. 36, no. 5, pp. 800-3, Nov, 1996.
[3] M. Markl, A. Frydrychowicz, S. Kozerke, M. Hope, and O.
Wieben, “4D flow MRI,” J Magn Reson
Imaging, vol. 36, no. 5, pp. 1015-36, Nov, 2012.
[4] C. Francois, D. Lum, K. M. Johnson, B. Landgraf, T. A. Bley,
S. B. Reeder, M. Schiebler, T. M. Grist, and O. Wieben, “Non-contrast-enhanced
renal magnetic resonance angiography (MRA) with a respiratory-triggered,
ECG-gated 3D phase contrast technique: Comparison with contrast-enhanced MRA,” accepted in Radiology, 2010.
[5] M. Markl, P. J. Kilner, and T. Ebbers, “Comprehensive 4D
velocity mapping of the heart and great vessels by cardiovascular magnetic
resonance,” J Cardiovasc Magn Reson,
vol. 13, pp. 7, 2011.
[6] P. J. Kilner, G. Z. Yang, A. J. Wilkes, R. H. Mohiaddin, D.
N. Firmin, and M. H. Yacoub, “Asymmetric redirection of flow through the
heart,” Nature, vol. 404, no. 6779,
pp. 759-61, Apr 13, 2000.
[7] T. A. Hope, M. Markl, L. Wigstrom, M. T. Alley, D. C. Miller,
and R. J. Herfkens, “Comparison of flow patterns in ascending aortic aneurysms
and volunteers using four-dimensional magnetic resonance velocity mapping,” J Magn Reson Imaging, vol. 26, no. 6,
pp. 1471-9, Dec, 2007.
[8] T. A. Bley, K. M. Johnson, C. J. Francois, S. B. Reeder, M.
L. Schiebler, R. L. B, D. Consigny, T. M. Grist, and O. Wieben, “Noninvasive
assessment of transstenotic pressure gradients in porcine renal artery stenoses
by using vastly undersampled phase-contrast MR angiography,” Radiology, vol. 261, no. 1, pp. 266-73,
Oct, 2011.
[9] M. Markl, W. Wallis, C. Strecker, B. P. Gladstone, W. Vach,
and A. Harloff, “Analysis of pulse wave velocity in the thoracic aorta by
flow-sensitive four-dimensional MRI: Reproducibility and correlation with
characteristics in patients with aortic atherosclerosis,” J Magn Reson Imaging, Jan 23, 2012.
[10] M. Markl, W. Wallis, and A. Harloff, “Reproducibility of flow
and wall shear stress analysis using flow-sensitive four-dimensional MRI,” J Magn Reson Imaging, vol. 33, no. 4,
pp. 988-94, Apr, 2011.
[11] J. Eriksson, P. Dyverfeldt, J. Engvall, A. F. Bolger, T.
Ebbers, and C. J. Carlhall, “Quantification of presystolic blood flow
organization and energetics in the human left ventricle,” Am J Physiol Heart Circ Physiol, vol. 300, no. 6, pp. H2135-41,
Jun, 2011.
[12] J. P. Kvitting, P. Dyverfeldt, A. Sigfridsson, S. Franzen, L.
Wigstrom, A. F. Bolger, and T. Ebbers, “In vitro assessment of flow patterns
and turbulence intensity in prosthetic heart valves using generalized
phase-contrast MRI,” J Magn Reson
Imaging, vol. 31, no. 5, pp. 1075-80, May, 2010.
[13] C. Binter, V. Knobloch, R. Manka, A. Sigfridsson, and S.
Kozerke, “Bayesian multipoint velocity encoding for concurrent flow and
turbulence mapping,” Magn Reson Med,
vol. 69, no. 5, pp. 1337-45, May, 2013.
[14] J. R. Cebral, C. M. Putman, M. T. Alley, T. Hope, R. Bammer,
and F. Calamante, “Hemodynamics in Normal Cerebral Arteries: Qualitative
Comparison of 4D Phase-Contrast Magnetic Resonance and Image-Based
Computational Fluid Dynamics,” J Eng
Math, vol. 64, no. 4, pp. 367-378, Aug 1, 2009.
[15] A. Frydrychowicz, C. J. Francois, and P. A. Turski,
“Four-dimensional phase contrast magnetic resonance angiography: potential
clinical applications,” Eur J Radiol,
vol. 80, no. 1, pp. 24-35, Oct, 2011.
[16] Markl
M, Frydrychowicz A, Kozerke S, Hope M, Wieben O. 4D flow MRI. J Magn Reson Imaging 2012; 36:1015-1036