Volume 14 Supplement 1
K-t-GRAPPA accelerated flow measurements
© Jung et al; licensee BioMed Central Ltd. 2012
Published: 1 February 2012
Parallel imaging can reduce scan time with typical reduction factors of ~2, often not sufficient to reduce scan time to breath hold duration. Spatiotemporal parallel imaging such as k-t-GRAPPA allows for a significantly higher speed-up in data acquisition, but previous studies mostly acquired full k-space data while removing data retrospectively. Here, aortic flow scans were acquired during breath-hold using kt-GRAPPA based reconstruction [1, 2] and compared to conventional protocols using GRAPPA and navigator respiration gating.
PC imaging in the ascending aorta (venc 1.5m/s) was performed on a 3T system (Trio, Siemens) using a 12-channel thorax coil with three different scans in 10 healthy volunteers:
1) Breath-hold using kt-GRAPPA (R=5/Rnet=4.0); 2) Free-breathing using conventional GRAPPA (R=2/Rnet=1.7); 3) Free-breathing using kt-GRAPPA (R=5/Rnet=4.0).
Scan parameters were: thickness 8mm, matrix 256x160 (1.3x1.5mm), temporal resolution 28ms, 6mm navigator gating window for free-breathing scans, scan time 12s for breath-hold scan (R=5) and 55s for free-breathing scan (R=2) assuming a 50% navigator efficiency and an RR-interval of 0.9s. The reconstruction was directly implemented into the Siemens image reconstruction environment. Velocity time courses and peak velocities in the ascending aorta were determined. Further, 4D flow scans were acquired with GRAPPA(R=2/Rnet=1.6), and kt-GRAPPA (R=5/Rnet=4.4 and R=8/Rnet=6.2) in a healthy volunteer using acquisition patterns for R=5 and 8 according to . Streamline visualization and velocity time courses were evaluated and compared.
The results indicate that the use of accelerations factor of up to R=5 with kt-GRAPPA can provide scan time reductions that allows time-resolved 2D data acquisition during breath-hold while maintaining a high temporal resolution or 4D flow scans in ~6-8 minutes.
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/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.