为了提高光声成像（PAT）的对比度和分辨率, 需对组织样品的光声（PA）信号进行基于探头脉冲响应的滤波反卷积以恢复其频谱特性。对宽带光声信号而言, 由于带通滤波的截止频率由人为确定, 噪声不能得到有效抑制, 很难获得稳定的反卷积结果。针对此问题, 提出了基于维纳滤波反卷积的光声成像方法, 利用点光声源获得超声探头的脉冲响应。利用维纳滤波抑制反卷积过程中噪声的影响, 滤波器参数由离散小波变换（DWT）动态估计, 样品光声图像由时域后向投影算法重建。数值模拟与成像实验均表明该方法有效地抑制了噪声对反卷积的影响, 提高了光声成像的对比度和分辨率。

In order to improve contrast and resolution in photoacoustic tomography (PAT), the filtered photoacoustic (PA) signal of tissue phantom was often deconvoluted by transducer impulse response to restore its spectrum. Because the cut-off frequency of band-pass filter was determined manually, it couldn’t suppress noise effectively, it was hard to get static deconvolution result. To solve this problem, a Wiener filter deconvolution algorithm was presented. The transducer impulse response was measured by a point photoacoustic source. The noise was suppressed by Wiener filter during deconvolution. The filter’s parameter was estimated by discrete wavelet transform (DWT). The photoacoustic image was reconstructed by time domain back projection algorithm. Both numerical simulation and experimental results demonstrated that the noise was suppressed effectively during deconvolution. The imaging contrast and resolution was improved.