Real-time photoacoustic and ultrasound dual-modality imaging system facilitated with graphics processing unit and code parallel optimization
Real-time photoacoustic and ultrasound dual-modality imaging system facilitated with graphics processing unit and code parallel optimization
复制标题
图形处理单元和代码并行优化促进实时光声和超声双模态成像系统
DOI：
10.1117/1.jbo.18.8.086001
复制
发表时间：
2013-08-01
影响因子：
3.5
通讯作者：
Liu, Xiaojun
中科院分区：
文献类型：
--
作者：
Yuan, Jie;Xu, Guan;Liu, Xiaojun
抽象的。光声断层扫描 (PAT) 可对活体生物组织进行结构和功能成像，具有与医学超声 (US) 成像相当的高灵敏度光学吸收对比度和出色的空间分辨率。我们报告了完全集成的 PAT 和 US 双模态成像系统的开发，该系统以真正实时的方式执行光声 (PA) 和 US 成像的信号扫描、图像重建和显示。 PA 图像重建的反投影 (BP) 算法经过优化，可降低计算成本并促进在最先进的图形处理单元 (GPU) 卡上的并行计算。首次可以对同一物体以实时帧速率同时连续进行 PAT 和 US 成像，目前受到 10 Hz 激光重复率的限制。实现了体内人体周围关节的无创PAT和US成像，证明了该系统实现了令人满意的图像质量。另一项实验是对流经人造血管的造影剂同时进行 PAT 和 US 成像，以验证该系统对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，可以从 http://sourceforge.net/projects/patrealtime 下载。
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.