利用勒让德序列的单光谱光声成像

M. Beckmann, C. Friedrich, M. Mienkina, N. Gerhardt, M. Hofmann, G. Schmitz
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引用次数: 9

摘要

光声成像是一种基于激光照射产生超声的成像方式。脉冲激光二极管是一个有吸引力的替代q开关Nd:YAG激光器,因为它们更便宜,更方便。由于声的飞行时间限制了脉冲重复频率(PRF)的平均,光声编码激励(PACE)可以提高二极管的低信噪比(SNR)。表现出距离侧瓣的策略可以比以前提出的完美方法产生更高的信噪比,同时使用更简单的代码发送过程。在这里,我们研究了用于PACE的Legendre序列(LGS)的性能。与时间等效平均(编码增益)相比,信噪比的增益是作为码长的函数推导出来的,并通过实验进行了验证。利用码的自相关函数的主瓣与峰旁瓣比(MPSR)来量化码的范围旁瓣所带来的伪影。编码增益渐近等于先前提出的方法,如Golay码(GC)或单纯形码(SC)。在有限的编码发送时间下,它的增益超过了GC和SC。在PRF为500 kHz,成像深度为4.5 cm的情况下,编码增益范围约为2 dB(11位序列)至5.8 dB(547位序列)。虽然引入了范围边瓣,但在足够大的码长下仍然不可见,这是实际应用所必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monospectral photoacoustic imaging using Legendre sequences
Photoacoustic (PA) imaging is an imaging modality based on the generation of ultrasound using laser irradiation. Pulsed laser diodes are an attractive alternative to Q-switched Nd:YAG lasers since they are cheaper and handier. As acoustic time-of-flight limits the pulse repetition frequency (PRF) for averaging, photoacoustic coded excitation (PACE) can be used to enhance the diodes' low signal to noise ratio (SNR). Strategies exhibiting range side lobes can yield higher SNR than previously proposed perfect methods while using simpler code sending procedures. Here, we examine the performance of Legendre sequences (LGS) for PACE. The gain in SNR compared to time equivalent averaging (coding gain) is derived as a function of code length and verified experimentally. The main lobe to peak side lobe ratio (MPSR) of the codes' autocorrelation functions is used to quantify the artifacts introduced by the codes' range side lobes. The coding gain is asymptotically equal to that of previously proposed methods, such as Golay codes (GC) or Simplex codes (SC). For finite code sending time, it exceeds the gain of GC and SC. For a PRF of 500 kHz and an imaging depth of 4.5 cm, the coding gain ranges from about 2 dB (11 bit sequence) to about 5.8 dB (547 bit sequence). Range side lobes are introduced but remain invisible for sufficiently large code lengths, which are necessary for practical applications.
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