- Poster presentation
- Open Access
Feasibility of ultra-high-dimensional flow imaging for rapid pediatric cardiopulmonary MRI
© Cheng et al. 2016
- Published: 27 January 2016
- Cardiac Phasis
- Dynamic Contrast Enhancement
- Regularization Constraint
- Volumetric Acquisition
- Flow Dataset
A comprehensive congenital cardiac MRI exam with contrast enhancement typically consists of multiple scans to evaluate dynamic contrast enhancement (DCE) characteristics, physiological function, blood flow, and anatomical assessment. However, multiple sequences require skilled operators, prolong the exam, and lengthen anesthesia duration for uncooperative patients. Thus, we propose a single comprehensive 5D flow volumetric acquisition for a simpler and shorter cardiac exam. This technique resolves the cardiac cycle (1D), contrast dynamics (1D), and flow velocities for 3D volumes. The feasibility of the proposed 5D flow method is demonstrated for cardiopulmonary imaging.
Velocity-sensitization in 3D is integrated into a temporally resolved DCE sequence (T1-weighted RF-spoiled GRE) using 4 velocity-encoding echoes. The gradients for velocity encoding are also used to acquire intrinsic Butterfly navigators to monitor patient motion (JY Cheng et al ISMRM 2015, p451). During the acquisition with EKG monitoring, gadolinium contrast is intravenously administered. To enable compressed sensing, a pseudo-random k-t view- ordering scheme is used to acquire the k-space data (JY Cheng et al JMRI 2015). Different sampling masks are applied during each velocity-encoding echo to achieve higher temporal resolution.
The data are binned into different volumes based on the cardiac phase, contrast phase, and velocity-encoding echo. This results in a 5D flow dataset. Though highly undersampled, the dataset can be reconstructed by exploiting data redundancies in multiple dimensions (M Lustig et al MRM 2007) and by applying parallel imaging (M Uecker et al MRM 2014). With the Butterfly motion estimates, soft-gating is used for suppressing motion artifacts (JY Cheng et al ISMRM 2015, p451). Spatial wavelet and total variation for the cardiac-cycle and contrast-phase dimensions are used for compressed-sensing regularization constraints (L Feng et al MRM 2013).
Two different reconstructions are performed to highlight different features: R1) DCE dynamics and R2) flow dynamics. For R1, fewer cardiac phases and more contrast phases are reconstructed to emphasize the DCE dynamics. For R2, more cardiac phases and a single contrast phase are reconstructed to characterize cardiac function and blood flow velocities.
Angiography is depicted using R1 with a 2.1-s temporal resolution. By subtracting the baseline pre-contrast phases, the pulmonary perfusion dynamics can be characterized. The pulmonary vessels were first enhanced at 4.1 s and then at 6.1 s post-injection. Lastly, in R2, pulmonary and aortic flow can be quantified and visualized with velocity vector renderings.
The feasibility of a 5D flow technique has been demonstrated to characterize contrast-enhancement dynamics and blood flow. The integrated sequence has potential to simplify the acquisition process, enable advanced high-dimensional reconstructions, and improve post-processing analysis.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.