Galiana Gigi, Constable R Todd
Department of Diagnostic Radiology, Yale University, New Haven, Connecticut, United States of America.
Department of Diagnostic Radiology, Yale University, New Haven, Connecticut, United States of America ; Department of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America.
PLoS One. 2014 Jan 21;9(1):e86008. doi: 10.1371/journal.pone.0086008. eCollection 2014.
Previous nonlinear gradient research has focused on trajectories that reconstruct images with a minimum number of echoes. Here we describe sequences where the nonlinear gradients vary in time to acquire the image in a single readout. The readout is designed to be very smooth so that it can be compressed to minimal time without violating peripheral nerve stimulation limits, yielding an image from a single 4 ms echo.
This sequence was inspired by considering the code of each voxel, i.e. the phase accumulation that a voxel follows through the readout, an approach connected to traditional encoding theory. We present simulations for the initial sequence, a low slew rate analog, and higher resolution reconstructions.
Extremely fast acquisitions are achievable, though as one would expect, SNR is reduced relative to the slower Cartesian sampling schemes because of the high gradient strengths.
The prospect that nonlinear gradients can acquire images in a single <10 ms echo makes this a novel and interesting approach to image encoding.
以往的非线性梯度研究主要集中在使用最少回波数重建图像的轨迹上。在此,我们描述了一种序列,其中非线性梯度随时间变化,以便在单次读出中获取图像。读出过程设计得非常平滑,这样就可以在不违反周围神经刺激限制的情况下压缩到最短时间,从而从单个4毫秒回波中生成一幅图像。
该序列的灵感来自于考虑每个体素的编码,即体素在整个读出过程中积累的相位,这是一种与传统编码理论相关的方法。我们给出了初始序列、低转换速率模拟以及高分辨率重建的仿真结果。
尽管可以实现极快速的采集,但正如预期的那样,由于高梯度强度,相对于较慢的笛卡尔采样方案,信噪比会降低。
非线性梯度能够在单个<10毫秒回波中获取图像,这一前景使其成为一种新颖且有趣的图像编码方法。