[Regular Paper] Implementation of an Ultrasound Platform for Proposed Photoacoustic Image Reconstruction Algorithm

Enkhbat Batbayar, E. Tumenjargal, Chulgyu Song, W. Ham
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Abstract

Photoacoustic tomography is a quickly growing imaging method that can provide images of high spatial resolution and high contrast at a limited depths. Medical photoacoustic processing characteristics two main components: A transducer is required to transmit laser pulses and acquire the reflected ultrasound signals and a back-end processing system that will generate the final reconstructed image. In this paper, we introduce an implementation of the receive part of proposed embedded system and briefly discuss reconstruction algorithms which are used in medical imaging systems. Furthermore, an intellectual property core (IP-core), which can be controlled and configured by a user application on Zynq-7000 System-On-Chip (SoC) via AXI-Lite Interface, that can receive multichannel digitized raw signals from Analog-Front-End (AFE) device via Low Voltage Differential Signal (LVDS), is proposed for photoacoustic imaging systems. Besides, block diagram of the system, the hardware design flow and the proposed IP-core are fully described in this paper. In order to effortlessly test and evaluate a wide variety of ultrasonic signal processing applications, 16 channel system is implemented and demonstrated by using TI AFE5816 Evaluation module (EVM) based on AFE5816 device and Xilinx ZC702 Evaluation Kit based on Zynq-7000 SoC. Apart from working on hardware, we review and commented on the proposed 3-Dimensional photoacoustic image reconstruction algorithm.
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[常规论文]基于超声平台的光声图像重构算法实现
光声层析成像是一种快速发展的成像方法,可以在有限的深度提供高空间分辨率和高对比度的图像。医学光声处理有两个主要组成部分:需要一个换能器来传输激光脉冲并获取反射的超声信号,以及一个后端处理系统来生成最终的重建图像。本文介绍了所提出的嵌入式系统接收部分的实现,并简要讨论了用于医学成像系统的重建算法。此外,提出了一种知识产权核心(IP-core),该核心可以通过axis - lite接口在Zynq-7000片上系统(SoC)上由用户应用程序控制和配置,可以通过低电压差分信号(LVDS)接收来自模拟前端(AFE)设备的多通道数字化原始信号,用于光声成像系统。并对系统的框图、硬件设计流程和提出的ip核进行了详细的描述。为了轻松地测试和评估各种超声波信号处理应用,采用基于AFE5816器件的TI AFE5816评估模块(EVM)和基于Zynq-7000 SoC的Xilinx ZC702评估套件实现并演示了16通道系统。除了硬件方面的工作外,我们还对提出的三维光声图像重建算法进行了回顾和评论。
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