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配备图形处理单元和代码并行优化的实时光声和超声双模成像系统。

Real-time photoacoustic and ultrasound dual-modality imaging system facilitated with graphics processing unit and code parallel optimization.

机构信息

Nanjing University, School of Electronic Science and Engineering, Nanjing 210093, China.

出版信息

J Biomed Opt. 2013 Aug;18(8):86001. doi: 10.1117/1.JBO.18.8.086001.

Abstract

Photoacoustic tomography (PAT) offers structural and functional imaging of living biological tissue with highly sensitive optical absorption contrast and excellent spatial resolution comparable to medical ultrasound (US) imaging. We report the development of a fully integrated PAT and US dual-modality imaging system, which performs signal scanning, image reconstruction, and display for both photoacoustic (PA) and US imaging all in a truly real-time manner. The back-projection (BP) algorithm for PA image reconstruction is optimized to reduce the computational cost and facilitate parallel computation on a state of the art graphics processing unit (GPU) card. For the first time, PAT and US imaging of the same object can be conducted simultaneously and continuously, at a real-time frame rate, presently limited by the laser repetition rate of 10 Hz. Noninvasive PAT and US imaging of human peripheral joints in vivo were achieved, demonstrating the satisfactory image quality realized with this system. Another experiment, simultaneous PAT and US imaging of contrast agent flowing through an artificial vessel, was conducted to verify the performance of this system for imaging fast biological events. The GPU-based image reconstruction software code for this dual-modality system is open source and available for download from http://sourceforge.net/projects/patrealtime.

摘要

光声断层扫描(PAT)提供了具有高灵敏度光吸收对比度和与医学超声(US)成像相当的优异空间分辨率的活体生物组织的结构和功能成像。我们报告了一种完全集成的 PAT 和 US 双模态成像系统的开发,该系统以真正的实时方式执行信号扫描、图像重建和显示,用于光声(PA)和 US 成像。用于 PA 图像重建的反向投影(BP)算法经过优化,以降低计算成本,并便于在最先进的图形处理单元(GPU)卡上进行并行计算。首次可以同时且连续地以实时帧率进行 PAT 和 US 成像,目前帧率受限于 10 Hz 的激光重复率。实现了对人体外周关节的非侵入性 PAT 和 US 成像,证明了该系统实现的令人满意的图像质量。另一个实验,通过人工血管流动的造影剂的同时 PAT 和 US 成像,验证了该系统用于快速生物事件成像的性能。该双模态系统的基于 GPU 的图像重建软件代码是开源的,并可从 http://sourceforge.net/projects/patrealtime 下载。

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