Phase Imaging with Multiple Phase-Cycled Pass-Band Balanced Steady-State Free Precession at 9.4T
Jae-Woong Kim1, Seong-Gi Kim2,3, and Sung-Hong Park1

1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of, 3Departments of Biomedical Engineering and Biological Sciences, Sungkyunkwan University, Suwon, Korea, Republic of

Synopsis

Phase images of pass-band bSSFP were investigated at multiple phase cycling (PC) angles at high field. Contrast between white matter and gray matter in phase images of pass-band bSSFP changed significantly with PC angle and was twice as high as that of phase images of gradient recalled echo at a specific PC angle. Phase images of pass-band bSSFP clearly demonstrated white matter and small structures presumed to be fiber bundles, which may not be easily visualized in the conventional methods. Phase imaging with pass-band bSSFP at multiple phase cycling angles may be a good anatomical imaging method at ultrahigh field.

INTRODUCTION

Phase imaging has become an alternative method to magnitude imaging for anatomical information (1). The classical approach is using gradient-recalled-echo (GRE) due to the linear phase profile to resonance frequency shift. In a previous research, phase imaging with transition-band balanced steady-state free precession (bSSFP) was explored to show refined anatomy of human brain at 7T (2). Pass-band bSSFP images have been studied for various purposes (3-5), but phase images of pass-band bSSFP have not been investigated well. In this study, we investigated phase images of pass-band bSSFP at multiple phase cycling (PC) angles at ultrahigh field of 9.4T. The result was compared with phase images from the conventional gradient-recalled-echo (GRE).

METHODS

Sprague-Dawley rats were studied with approval from the Institutional Animal Care and Use Committee (N=7). Pass-band bSSFP and GRE scans were conducted using 9.4T Varian animal scanner (Palo Alto, CA). The common scan parameters were matrix size=192×256 (phase-encoding×readout), TR/TE=20/10ms, single slice with thickness=2mm, field of view=2.4×2.4cm². Only for bSSFP, additional scans of TR/TE=10/5 ms were performed. The flip angles were set at 16˚ in bSSFP and 8˚ in GRE acquisition. In bSSFP study, 4 different phase cycling angles of 0˚, 90˚, 180˚, and 270˚ (denoted as PC0, PC1, PC2, and PC3, respectively) were applied to get separate data for both TR/TE=20ms/10ms and 10ms/5ms. Acquisition of the same slice was repeated 24 times (TR/TE=20 ms/10ms) or 48 times (TR/TE=10/5ms), maintaining the same scan time of 92s for each of the 9 sequences (1 GRE and 8 bSSFP at 2 TR values and four PC angles). The 9 scans composed one full dataset and acquisition of datasets was repeated 15 to 25 times varying depending on subjects. Eventually all the data from within each scan and across different datasets were averaged for each of the 9 sequences.

To obtain the image in isotropic inplane resolution of 93.75μm, the raw dataset was sequentially zero-padded and Fourier-transformed. The large-scale phase variation was mitigated by applying a high-pass filter (generated by a 2D Gaussian filter with FWHM of 60 voxels) to the original data.

The phase images from the 9 sequences were compared in terms of phase contrast between white matter (WM) and gray matter (GM) by calculating the average of phase values within each region of interest (ROI). The ROIs of WM and GM were manually set in corpus callosum and in cortical cortex respectively (Fig. 1).

RESULTS

Figure 2 shows the quantitative ROI analysis of phase values from the bSSFP and GRE scans. In bSSFP, the phase values of WM varied with respect to PC angle, while the phase values of GM changed little with PC angle. The WM to GM phase ratio was the highest in PC3 and was twice as high as that in GRE, indicating phase images of pass-band bSSFP with a specific PC angle can present WM better than the phase image of conventional GRE method.

Figure 3 shows the phase images of bSSFP acquisition in 8 different conditions and 1 GRE acquisition. The qualitative comparison between bSSFP phase images also demonstrated that the phase contrast varied significantly with PC angles (Fig. 3a). Interestingly, bSSFP PC3 in 20ms of TR phase image offered a noticeable visibility of the WM tissues and small structures presumed to be fiber bundles, such as corpus callosum, anterior commissure, and the neural tracts of striatum (Fig. 3a). Vascular structures were mostly visible as dark signals (i.e., negative phase values), whereas WM regions and the small structures presumed to be neuronal fiber bundles were mostly presented as bright signals (i.e., positive phase values).

DISCUSSION

In ultrahigh field, the high susceptibility effects induce remarkable phase contrast between tissues and small microstructures. This makes bSSFP promising to be conducted in high field. In addition, bSSFP showed the capability of phase imaging for advanced anatomy through the multiple phase cycling approach, which enables the inspection of complex brain microstructures. Anterior commissure has been easily observed by the conventional MRI imaging techniques, since the WM tissues exist in bundles of nerve fiber. However, substructures of striatum have been difficult to be detected in routine MRI protocol. From this reason, previous MRI studies were limited to investigating the severity of striatal damage by staining (6) or utilizing magnetic resonance spectroscopy (7).

CONCLUSION

The phase images of pass-band bSSFP can provide advanced anatomical information by using multiple phase cycling at ultrahigh field. The phase image of bSSFP can visualize the substructure of striatum, which cannot be imaged by conventional methods. bSSFP will provide a new insight into phase imaging for anatomical information.

Acknowledgements

No acknowledgement found.

References

1. Duyn, J.H. et al. High-field MRI of brain cortical substructure based on signal phase. PNAS USA, 2007; 10;104(28):11796-11801

2. Lee, J. et al. Improving contrast to noise ratio of resonance frequency contrast images (phase images) using balanced steady-state free precession. NeuroImage 2011;54,2779–2788

3. Park, S-H. et al. Sensitivity and specificity of high-resolution balanced steady-state free precession fMRI at high field of 9.4 T. NeuroImage 2011;58,168–176

4. Yan, L. et al. Quantification of arterial cerebral blood volume using multiphase-balanced SSFP-Based ASL. MRM 2012;68,130–139

5. Nayak, K.S. et al. Spiral balanced steady-state free precession cardiac imaging. MRM 2005;53,1468–1473

6. Hansson, O. et al. Transgenic mice expressing a Huntington’s disease mutation are resistant to quinolinic acid-induced striatal excitotoxicity. PNAS USA 1999;96,8727–8732

7. Sánchez–Pernaute, R. et al. Clinical correlation of striatal 1H MRS changes in Huntington’s disease. Neurology 1999;53(4)806-812

Figures

Figure 1. Regions of interest indicating white matter (red) and gray matter (blue).

Figure 2. The mean phase values within ROIs of white matter and gray matter. The error bars indicate the range of one standard deviation across different subjects (N=7).

Figure 3. The phase images of from slice of interest. a: Phase images from bSSFP acquisitions in 8 different conditions. b and c: Magnitude image (b) and phase image (c) from GRE sequence. PC0, PC1, PC2, and PC3 represent phase cycling angle of 0°, 90°, 180°, and 270°, respectively. Red arrow: corpus callosum. Yellow colored arrow: small structures presumed to be the neuron fiber tracts in striatum. Green colored arrow: anterior commissure.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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