Department of Radiology, Children's Hospital Boston, Boston, MA, USA.
Magn Reson Imaging. 2013 Apr;31(3):346-52. doi: 10.1016/j.mri.2012.10.002. Epub 2013 Jan 20.
Among the multiple sequences available for functional magnetic resonance imaging (fMRI), the Steady State Free Precession (SSFP) sequence offers the highest signal-to-noise ratio (SNR) per unit time as well as distortion free images not feasible with the more commonly employed single-shot echo planar imaging (EPI) approaches. Signal changes occurring with activation in SSFP sequences reflect underlying changes in both irreversible and reversible transverse relaxation processes. The latter are characterized by changes in the central frequencies and widths of the inherent frequency distribution present within a voxel. In this work, the well-known frequency response of the SSFP signal intensity is generalized to include the widths and central frequencies of some common frequency distributions on SSFP signal intensities. The approach, using a previously unnoted series expansion, allows for a separation of reversible from irreversible transverse relaxation effects on SSFP signal intensity changes. The formalism described here should prove useful for identifying and modeling mechanisms associated with SSFP signal changes accompanying neural activation.
在多种可用于功能磁共振成像(fMRI)的序列中,稳态自由进动(SSFP)序列在单位时间内提供了最高的信噪比(SNR),并且可以提供单 shot 回波平面成像(EPI)方法无法实现的无失真图像。SSFP 序列中激活引起的信号变化反映了不可逆和可逆横向弛豫过程中潜在的变化。后者的特征是像素内固有频率分布的中心频率和带宽发生变化。在这项工作中,将 SSFP 信号强度的已知频率响应推广到包括 SSFP 信号强度上一些常见频率分布的带宽和中心频率。该方法使用以前未注意到的级数展开,可以将可逆和不可逆横向弛豫效应对 SSFP 信号强度变化的影响分开。这里描述的形式应该有助于识别和建模与伴随神经激活的 SSFP 信号变化相关的机制。