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

Enkhbat Batbayar, Ju Yeon Lee, W. Ham, E. Tumenjargal, Chulgyu Song, Seungkuk Roh
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引用次数: 1

Abstract

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 \cite{ref40}. 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.
利用k波工具箱实现光声成像医学图像重建算法
本文描述了一种立体光声医学成像系统图像重建算法的实现。该算法的主要目标是利用超声探头各传感器单元与相应搜索点之间的距离这一几何信息来评估搜索区域内声源存在的可能性。我们简要描述了本文提出的算法,该算法在我们之前的论文\cite{ref40}中进行了全面而清晰的解释。本文还讨论了一种计算声探测器单元对应的搜索区域弧长的算法。文中给出了利用该算法计算弧长和不计算弧长的实验结果。我们还比较了该算法在计算弧长和不计算弧长时的图像质量,以及使用FFT的传统k波算法的图像质量。除了使用k-wave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,这将在本文的硬件实现部分进行解释。仿真结果证明了基于弧长计算的重构算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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