- Poster presentation
- Open Access
Feasibility of three-dimensional (3D) balanced steady-state-free-precession (bSSFP) myocardial perfusion MRI at 3 Tesla using local RF Shimming with dual-source RF transmission
© Jogiya et al; licensee BioMed Central Ltd. 2013
- Published: 30 January 2013
- Philips Healthcare
- Swiss National Science Foundation
- Grant Support
- Local Ethic Committee Approval
- British Heart Foundation
Three-dimensional myocardial perfusion MRI offers better myocardial coverage than conventionally used two-dimensional methods. bSSFP three-dimensional myocardial perfusion MRI at 3 Tesla potentially offers further improvement of signal characteristics and may enhance the use of three-dimensional myocardial perfusion MRI for clinical application.
Twenty-five healthy volunteers and 2 patients were included upon written informed consent and local ethics committee approval. Dynamic contrast-enhanced 3D bSSFP perfusion imaging was performed on a 3 Tesla MRI scanner equipped with dual-source RF transmission technology (MultiTransmit; Philips Healthcare, The Netherlands).
Compared with an equivalent 3D spoiled gradient echo method (TFE), mean SNR was (30.4 vs 24.4, respectively, P=0.24), but signal homogeneity measured in the myocardium was improved (14.98% vs 11.15%, respectively, p=0.015).
Three-dimensional bSSFP myocardial perfusion MRI using local RF Shimming with dual-source RF transmission at 3 Tesla is feasible with improved signal characteristics. Image artifacts however remain an important limitation.
Prof. Plein is funded by British Heart Foundation fellowship FS/10/62/28409 and receives research grant support from Philips Healthcare.
Prof. Kozerke receives funding from the Swiss National Science Foundation (grant number CR3213_132671/1) and research support form Bayer (Switzerland) AG. Prof. Nagel receives grant support from Bayer Healthcare and Philips Healthcare.
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.