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A simple and accurate matrix for model based photoacoustic imaging

机译:一种简单准确的基于模型光声成像的矩阵

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Accurate model-based methods in Photo-Acoustic Tomography (PAT) can reconstruct the image from insufficient and inaccurate measurements. Most of the models either make the simplified assumption of spherical averaging or use accurate models that have computationally burdensome implementations. We present a simple and accurate measurement matrix that is derived from the pseudo-spectral PAT model. The accuracy of the measurement matrix is first validated against the experimental PAT signal. We also compare the model against the standard k-wave measurement model and the spherical averaging model. We then highlight several reconstruction strategies based on the nature of the region of interest to further demonstrate the accuracy of the proposed measurement matrix.
机译:光声断层扫描(PAT)中的基于精确的基于模型的方法可以从不足和不准确的测量重建图像。大多数模型要么使具有计算繁琐实施的准确模型进行简化的球面平均或使用精确的模型。我们介绍了一种简单而准确的测量矩阵,其来自伪光谱PAT模型。首先针对实验PAT信号验证测量矩阵的准确性。我们还将模型与标准K波测量模型和球面平均模型进行比较。然后,我们基于感兴趣区域的性质来突出几种重建策略,以进一步证明所提出的测量矩阵的准确性。

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