基于模型的光声成像简单准确的矩阵

K. J. Francis, P. Mishra, P. Rajalakshmi, Sumohana S. Channappayya, A. Richhariya
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引用次数: 1

摘要

精确的基于模型的光声层析成像(PAT)方法可以从不充分和不准确的测量中重建图像。大多数模型要么采用球面平均的简化假设,要么采用计算量大的精确模型。我们提出了一个简单而精确的测量矩阵,该矩阵由伪光谱PAT模型推导而来。首先针对实验PAT信号验证了测量矩阵的精度。我们还将该模型与标准k波测量模型和球面平均模型进行了比较。然后,我们重点介绍了基于感兴趣区域的性质的几种重建策略,以进一步证明所提出的测量矩阵的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A simple and accurate matrix for model based photoacoustic imaging
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.
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