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改进的辛纳尔-勒鲁算法。

Improved Shinnar-Le Roux algorithm.

作者信息

Ikonomidou V N, Sergiadis G D

机构信息

Telecommunications Division, Aristotle University of Thessaloniki, Thessaloniki, 54006, Greece.

出版信息

J Magn Reson. 2000 Mar;143(1):30-4. doi: 10.1006/jmre.1999.1965.

Abstract

Selective excitation pulses are widely used in magnetic resonance imaging in order to excite predetermined slices of the body under examination. Such pulses are optimally designed by means of the Shinnar-Le Roux algorithm. In this paper, we show that under minimal assumptions, the complexity and computing cost of the original Shinnar-Le Roux algorithm can be drastically reduced. We further propose an improved version of the algorithm, involving only real quantities, which is both easier to implement and faster to execute, so it is suitable for implementation at the hardware level, in the context of a real-time fully digital magnetic resonance transceiver.

摘要

选择性激发脉冲在磁共振成像中被广泛使用,以便激发被检查身体的预定切片。此类脉冲通过辛纳-勒鲁算法进行优化设计。在本文中,我们表明,在最小假设条件下,原始辛纳-勒鲁算法的复杂度和计算成本可大幅降低。我们还提出了该算法的改进版本,该版本仅涉及实数量,既更易于实现又执行速度更快,因此适用于在实时全数字磁共振收发器的背景下在硬件层面实现。

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