中文摘要：

在光声成像过程中，由于各种限制因素，往往只能完成有限角度的信号采集。采集到的不完备的信号会在图像重构过程中产生伪迹现象，丢失细节信息。基于光声图像的稀疏特性，提出了基于压缩感知的光声成像算法。该方法通过2个单阵元超声探测器成角度采集光声信号，然后基于压缩感知重构算法进行光声图像重建并进行融合处理。仿真证明采用多个角度观测，选用合适的探头分布角度和测量矩阵可以有效弥补远场成像分辨率和减少测量次数，消除光声图像的伪迹现象，最终实现以较少的数据量和较简单的硬件设备实现高分辨率光声成像。

英文摘要：

In photoacoustic imaging （PAI）, the photoacoustic （PA） signal can be observed only from limited view angles due to some structure limitations. As a result, data incompleteness artifacts appear and some image details are lost. Based on the sparsity of PA images, compressed sensing （CS） method in PAI is presented in this paper. The proposed method acquires PA signals with two angled single-element transducers, uses CS algorithm to reconstruct PA images and obtains the fusion result. Simulation results show that when using multiple-angle observation, selec-ting appropriate transducer measuring-angle and measurement matrix can effectively compensate for far field imaging resolution and reduce the number of measurements ; and the proposed CS method can eliminate artifacts in PA image and achieve high-resolution PAI using compressed data and simple hardware device.