- Workshop presentation
- Open Access
Compressed sensing accelerated 4D-flow MRI in the murine aorta
© Fluckiger et al; licensee BioMed Central Ltd. 2013
- Published: 30 January 2013
- Compress Sense
- Blood Flow Parameter
- Average Peak Velocity
- Cardiac Pump Function
- Lower Peak Velocity
A key determinant of cardiac pump function is the complex interplay between the heart and the arterial system, (i.e. arterio-ventricular coupling). Aging and pathological changes such as atherosclerosis alter elastic properties of the vessel wall, and therefore adversely influence hemodynamic parameters. Mice are commonly used to study cardiovascular disease, but very little has been published on comprehensive blood flow measurements in these models. We therefore sought to establish a compressed sensing (CS) accelerated, phase contrast MR technique (4D flow MRI) for measuring aortic 3D hemodynamics in the mouse.
The experiments were carried out on female C57Bl6 mice (28.0 ± 0.1g, n= 3) using a quadrature driven birdcage resonator (id 33mm) on a 9.4T Agilent MR system. A four-point referenced, multi-frame phase contrast MR sequence (TE/TR=1.86/4.6ms, 128x128, FOV 25.6x25.6mm, 0.3mm slice thickness, 12-16 contiguous slices, vencx/y/z=150cm/s, 2 averages) was used to encode blood flow in the aorta in 3D + time (i.e. 4D). To investigate whether or not CS can be used to accelerate the experiments, up to 3-fold undersampling and subsequent CS-reconstruction was performed in post-processing as reported previously (Wech, T., et al., J Magn Reson Imaging, 2011. 34(5): p. 1072-9). All image sets were processed using in-house software for noise reduction, eddy current correction, and anti-aliasing. 3D blood flow visualization (systolic 3D stream lines) and quantification (peak flow in retrospectively positioned analysis planes in the ascending and descending aorta) was performed using EnSight (CEI, Apex, NC).
This is the first study to combine CS with phase-contrast MRI to quantify 4D-blood flow in the mouse aorta. While the initial data indicate that at least a 2.5-fold reduction in scan time should be possible, more work will be required to better characterise and to quantify the impact CS on the measured blood flow parameters.
This work was funded by the British Heart Foundation (BHF).
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