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离散k空间中梯度优化随机游走对任意形状的激发。

Excitation of arbitrary shapes by gradient optimized random walk in discrete k-space.

作者信息

Sersa I, Macura S

机构信息

Department of Biochemistry and Molecular Biology, Mayo Graduate School, Mayo Clinic, Rochester, MN 55905, USA.

出版信息

Magn Reson Med. 1997 Jun;37(6):920-31. doi: 10.1002/mrm.1910370618.

Abstract

A new technique for the excitation of arbitrary shapes is proposed. It is based on a parallel sequence of small tip angle RF pulses and gradient pulses. The small tip angle rotations co-add yielding a 90 degrees excitation pulse within the selected excitation profile while outside the profile, the rotations cancel each other. A full theory of the completely arbitrary regional volume excitation (CARVE) method is presented and experimentally verified. In CARVE, k-space is discrete because the RF is applied in pulses. The discrete character of k-space permits an arbitrary trajectory for the k-space walk. The optimal random trajectory is found by minimizing the gradient load using simulated annealing. It is shown, both theoretically and experimentally, that such a trajectory is much better than any other systematic or random trajectory in k-space.

摘要

提出了一种用于激发任意形状的新技术。它基于小翻转角射频脉冲和梯度脉冲的并行序列。小翻转角旋转相加,在选定的激发轮廓内产生一个90度的激发脉冲,而在轮廓外,旋转相互抵消。提出并通过实验验证了完全任意区域体积激发(CARVE)方法的完整理论。在CARVE中,k空间是离散的,因为射频是以脉冲形式施加的。k空间的离散特性允许k空间行走采用任意轨迹。通过使用模拟退火最小化梯度负载来找到最优随机轨迹。理论和实验均表明,这样的轨迹在k空间中比任何其他系统或随机轨迹都要好得多。

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