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Optimizing simultaneous multispectral emission photoacoustics

机译:优化同时多光谱发射光声

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Several multispectral photoacoustic imaging methods employ systems that allow for simultaneous use of multiple laser wavelengths. This allows forming of a higher SNR image by combining the wavelengths, while simultaneously extracting single wavelength information. An optimization strategy for a given acquisition protocol exists, but it is still necessary to optimize the acquisition protocol. This leads to a problem known as the multi-objective nonlinear Knapsack problem, which can be solved analytically for special cases or numerically for small problem sizes. In this paper, we present optimization strategies to improve SNR. Optimization is performed for four different optimization constraints: For each, an algorithm is described to obtain the optimal acquisition scheme.
机译:几种多光谱光声成像方法采用允许同时使用多个激光波长的系统。这允许通过组合波长来形成较高的SNR图像,同时提取单波长信息。存在给定采集协议的优化策略,但仍然需要优化采集协议。这导致了称为多目标非线性背包问题的问题,这可以在特殊情况下或数值用于小问题尺寸来分析地解决。在本文中,我们提出了优化策略来改善SNR。针对四种不同的优化约束执行优化:对于每个,描述了一种算法来获得最佳采集方案。

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