Guo Shouchang, Noll Douglas C
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA.
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Magn Reson Med. 2020 Aug;84(2):698-712. doi: 10.1002/mrm.28156. Epub 2020 Jan 8.
Signal-to-noise ratio (SNR) is crucial for high-resolution fMRI; however, current methods for SNR improvement are limited. A new approach, called oscillating steady-state imaging (OSSI), produces a signal that is large and -weighted, and is demonstrated to produce improved SNR compared to gradient echo (GRE) imaging with matched effective TE and spatial-temporal acquisition characteristics for high-resolution fMRI.
Quadratic phase sequences were combined with balanced gradients to produce a large, oscillating steady-state signal. The quadratic phase progression was periodic over short intervals such as 10 TRs, inducing a frequency-dependent phase dispersal. Images over one period were combined to produce a single image with effectively -weighting. The OSSI parameters were explored through simulation and phantom data, and 2D and 3D human fMRI data were collected using OSSI and GRE imaging.
Phantom and human OSSI data showed highly reproducible signal oscillations with greater signal strength than GRE. Compared to single slice GRE with matched effective TE and spatial-temporal resolution, OSSI yielded more activation in the visual cortex by a factor of 1.84 and an improvement in temporal SNR by a factor of 1.83. Voxelwise percentage change comparisons between OSSI and GRE demonstrate a similar -weighted contrast mechanism with additional -weighting of about 15 ms immediately after the RF pulse.
OSSI is a new acquisition method that exploits a large, oscillating signal that is -weighted and suitable for fMRI. The steady-state signal from balanced gradients creates higher signal strength than single slice GRE at varying TEs, enabling greater volumes of functional activity and higher SNR for high-resolution fMRI.
信噪比(SNR)对于高分辨率功能磁共振成像(fMRI)至关重要;然而,目前改善信噪比的方法有限。一种名为振荡稳态成像(OSSI)的新方法产生的信号大且具有特定加权,并且已证明与具有匹配有效回波时间(TE)和时空采集特性的梯度回波(GRE)成像相比,在高分辨率fMRI中能提高信噪比。
二次相位序列与平衡梯度相结合以产生大的振荡稳态信号。二次相位进展在短间隔(如10个重复时间(TR))内是周期性的,从而引起频率依赖性相位分散。一个周期内的图像被组合以产生具有有效特定加权的单个图像。通过模拟和体模数据探索了OSSI参数,并使用OSSI和GRE成像收集了二维和三维人体fMRI数据。
体模和人体OSSI数据显示出高度可重复的信号振荡,其信号强度比GRE更大。与具有匹配有效TE和时空分辨率的单层GRE相比,OSSI在视觉皮层中产生的激活增加了1.84倍,时间信噪比提高了1.83倍。OSSI和GRE之间的体素百分比变化比较表明,存在类似的特定加权对比机制,在射频脉冲后立即有额外约15毫秒的特定加权。
OSSI是一种新的采集方法,它利用了大的、振荡的、具有特定加权且适用于fMRI的信号。平衡梯度产生的稳态信号在不同TE时比单层GRE具有更高的信号强度,从而能够实现更大体积的功能活动以及高分辨率fMRI的更高信噪比。