The effect of B0 and B1 transmit inhomogeneity on 3D bSSFP lung imaging with hyperpolarized 129Xe was simulated using flip angle and off-resonance frequency maps in combination with the matrix product operator approach to predict 129Xe magnetization dynamics and associated bSSFP signal distributions. B1-related signal drop-off was predicted in posterior and some anterior regions, whilst central regions were generally robust to flip angle variations. Regions of high off-resonance frequency near the diaphragm resulted in low simulated bSSFP signal, corresponding spatially to banding artifact locations. When combined, the two factors led to mean bSSFP image intensity variations ~15-20%.
The flip angle of the coil was homogeneously distributed across the central regions of the lungs, whilst some left-right inhomogeneity and increased α values were measured in posterior regions. The global mean variation in α was 24%, 25% and 16%, for V1, V2 (same and separate-breath experiments), respectively. The separate-breath experiment (Fig.1) isolated the influence of α inhomogeneity on bSSFP signal distribution and showed that regions of high α were associated with signal drop-off, whilst regions with little α variation exhibited uniform signal intensity. In previous work, 3 we reported that 129Xe 3D bSSFP SNR is robust to global variations in α ~1-2° (≲20% of the optimum flip angle, ~10°). An example 129Xe bSSFP lung image depicting left-right α-related “shading” of signal intensity is shown in Fig.1c.
Fig.2a illustrates the global effects of off-resonance on the longitudinal magnetization of HP129Xe. Increasing the degree of off-resonance results in more rapid signal decay and elongation of the oscillatory behavior of the longitudinal magnetization. This corresponds to periodic nulling of bSSFP signal as a function of off-resonance frequency (Fig.2b). ∆f0 maps showed homogeneously distributed off-resonance frequencies across the lungs in the anterior-posterior direction, however in some slices, high Δf0 values (≲80Hz) were observed in the basal regions (near the diaphragm), as illustrated in Fig.1 and Fig.3a. The global mean ± standard deviation of Δf0 was 13.7±10.1Hz, 12.4±9.1Hz and 15.2±13.3Hz for V1, V2 (same and separate-breath experiments), respectively. Resulting 129Xe 3D bSSFP signal was generally uniformly distributed across the lungs, with some significant regions of low intensity near the diaphragm, corresponding spatially to high Δf0 regions. Moreover, these regions qualitatively matched those of banding artifacts occasionally detected in HP129Xe bSSFP imaging (Fig.1c and 1,3).
An example complete same-breath dataset (∆f0, α and signal maps) is shown in Fig.3. Whilst separate-breath results clearly distinguished the signal distribution characteristics associated with the inhomogeneity of the two parameters, the combination of these effects in the same-breath experiments resulted in a patchier signal distribution. The combined α and Δf0 variability resulted in 15.6%, 20.0% deviation in mean bSSFP signal across the lungs for V1, V2 respectively (mean ± standard deviation of signal: 3.2±0.64 and 3.3±0.52, respectively).
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