- Meeting abstract
- Open Access
1134 Steady-state free precession (SSFP) improves signal-to-noise ratio in strain-encoded (SENC) imaging
© Basha et al; licensee BioMed Central Ltd. 2008
- Published: 22 October 2008
- Flip Angle
- Phantom Experiment
- SSFP Imaging
- Strain Quantification
- Balance SSFP
Strain encoding (SENC) technique has been developed to measure regional myocardial strain . SENC is similar to stimulated-echo-acquisition-mode (STEAM) sequence , and therefore suffers from a loss of signal-to-noise ratio (SNR). Current implementations of SENC uses gradient echo imaging sequences, which are not the optimal pulse sequence to gain SNR. Balanced steady-state free-precession (SSFP) imaging is widely used in the clinical routine of myocardial imaging because of its intrinsically high SNR and excellent blood-tissue contrast [3, 4].
The combination of SENC with SSFP imaging could offer substantial improvement in the image SNR, and thereby enhances the qualitative and quantitative analysis of heart wall motion. In this work, a new technique (SENC-SSFP) is proposed for imaging and quantifying myocardial through-plane strain by combining SENC imaging with a fully balanced-SSFP pulse sequence. The SENC-SSFP sequence was tested in phantom and human experiments, and showed significant improvement in SNR compared to conventional SENC.
The SENC sequence uses a tagging sequence to modulate the tissue magnetization with sinusoidal pattern. Deformations in the tissue will cause changes in the spatial frequency of the pattern, which can be detected by specific demodulation with tuning frequencies when imaging . In this work, the imaging part was replaced with SSFP acquisition, a schematic of which is shown in Fig. 1. To avoid disturbing the steady-state sequence, the preparation tagging pulses were inserted into the sequence using steady-state storage scheme . During acquisition, a gradient moment is added to the refocusing gradient in the through-plane direction in order to demodulate the acquired image by the required tuning frequencies. In order to maintain a constant SNR, we have used the ramped flip angle algorithm proposed in . SENC-SSFP was implemented on a 3 T Philips scanner.
Numerical and phantom experiments
Numerical simulations of the Bloch equation were conducted using the ramped flip angle formulas for both the SPGR and SSFP pulse sequences. The SNR performances were evaluated and compared for different flip angles and heart rates. A phantom experiment was conducted using SENC and SENC-SSFP sequences. Each sequence was repeated for different simulated heart rates and different flip angles and the corresponding SNRs were measured.
In vivo study
The combination of the SENC technique with balanced SSFP pulse sequence allows for high SNR cardiac functional imaging, which in turn is likely to improve strain quantification.
This work was supported in part by grants from the national institute of heart, lung and blood R01HL072704, R01HL61912, and Donald W. Reynolds Foundation grant.
- Osman : MRM. 46: 324-334.Google Scholar
- Fahmy : MRM. 55: 404-412.Google Scholar
- Scheffler : European Radiology. 13: 2409-2418. 10.1007/s00330-003-1957-x.Google Scholar
- Carr : Radiology. 219: 828-834.Google Scholar
- Scheffler : MRM. 45: 1075-1080.Google Scholar
- Ibrahim : JMRI. 24: 1159-1167. 10.1002/jmri.20730.Google Scholar
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