中文摘要：

提出将光声成像中的傅里叶域重建方法与分布式并行计算相结合的方法,应用于实际处理医学成像中,实现实时重建医学光声图像的目的.滤波反投影算法是光声图像重建的一个广泛使用的算法,但由于在时域重建的时间复杂度大,并不适合实时重建.傅里叶域重建方法相对于滤波反投影算法具有时间复杂度上的优越性,且产生较少的伪影.并行处理技术,已经广泛应用于各类工程学科,其影响力及范围随着研究深入逐步扩大.分布式并行计算将提高图像处理速度,使实时重建医学图像成为可能.将MATLAB作为平台,实现了对医学图像在复频域的并行加速处理,给出了并行处理与串行处理的测试结果的比较.实验结果表明：傅里叶域重建方法与分布式并行计算的结合,使医学光声成像重建时间大大缩短.

英文摘要：

In recent years,photoacoustic imaging has developed gradually as a new medical imaging modality.Traditional medical imaging methods,such as X-ray Tomography,Optical Coherence Tomography,MRI and ultrasound imaging,cannot meet the requirement of nondestructive and nonionizing method,as well as deeper imaging depth and higher imaging contrast of organ.Speaking of the advantages of photoacoustic effect in biological imaging,it is noninvasive,non-ionizing,and easy to perform.It has great prospects for development in the field of medical diagnosis and treatment.The filtered back projection algorithm is a widely used algorithm in photoacoustic image reconstruction.However,because of the time complexity in the process of reconstruction,filtered back projection algorithm is not suitable for real-time reconstruction.In order to solve the above problem,this article is a combination of photoacoustic imaging Fourier domain reconstruction and distributed parallel computing to achieve the purpose of real-time medical photoacoustic image reconstruction.Comparing to the widely used filtered back-projection algorithm,Fourier domain reconstruction methods is advanced in time complexity and has fewer artifacts.The parallel processing tech-nology has also been widely used in various engineering disciplines.Its influence and scope of application have been expanded with further research,emerging in many different areas other than scientific computing.Distributed parallel computing makes real-time reconstruction of medical images possible by accelerating and improving the image processing speed.In this paper,MATLAB is the platform of accelerating the speed of the medical image processing in complex frequency domain.The test results and comparison of parallel processing and serial processing are also presented.The result of experiment indicates that by using Fourier domain reconstruction and distributed parallel computing,the reconstruction time is greatly shortened and the efficiency is improved.