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Implementation of Medical Image Reconstruction Algorithm for Photoacoustic Imaging Using k-wave Toolkit

机译:使用k波工具包实现光声成像的医学图像重建算法

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This paper describes the implementation of a proposed image reconstruction algorithm for stereo photo-acoustic medical imaging system. The main goal of this algorithm is to evaluate the existence possibility of acoustic source within a search area by using the geometric information which is the distance between each sensor element of ultrasound probe and corresponding searching point. We briefly describe the proposed algorithm in this paper which was comprehensively and clearly explained in our previous paper [1]. We also discussed an algorithm that is calculated the arc length of searching area corresponding to an element of acoustic detector. In this paper, some experimental results are presented which utilized the proposed algorithm with and without calculating arc length. We also compared the image quality of the proposed algorithm with and without calculating arc length and conventional k-wave algorithm in which FFT should be used. Apart from implementing the proposed algorithm with k-wave toolbox, we also implemented the hardware and software aspects of an ultrasound system that is explained in hardware implementation section of this paper. The simulation results proved the effectiveness of the proposed reconstruction algorithm with arc length calculation.
机译:本文描述了提出的用于立体光声医学成像系统的图像重建算法的实现。该算法的主要目的是通过使用几何信息来评估搜索区域内声源的存在可能性,该几何信息是超声探头的每个传感器元件与相应搜索点之间的距离。我们在本文中简要描述了所提出的算法,该算法在我们之前的论文[1]中得到了全面而清晰的解释。我们还讨论了一种算法,该算法计算出与声检测器元件相对应的搜索区域的弧长。在本文中,提出了一些实验结果,这些结果在不计算弧长的情况下利用所提出的算法。我们还比较了在有和没有计算弧长的情况下所提算法的图像质量以及应使用FFT的常规k波算法的图像质量。除了使用k波工具箱实现所提出的算法外,我们还实现了超声系统的硬件和软件方面,本文的硬件实现部分对此进行了说明。仿真结果证明了该算法在弧长计算中的有效性。

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