应用科学学报 ›› 2019, Vol. 37 ›› Issue (3): 336-348.doi: 10.3969/j.issn.0255-8297.2019.03.004

• 信号与信息处理 • 上一篇    下一篇

三维光声图像重建的交替方向加权算法

齐梦雨1, 赵丽丽1, 刘欣1,2, 严壮志1,2   

  1. 1. 上海大学 通信与信息工程学院, 上海 200444;
    2. 上海大学 上海生物医学工程研究所, 上海 200444
  • 收稿日期:2018-04-25 修回日期:2018-05-17 出版日期:2019-05-31 发布日期:2019-05-31
  • 通信作者: 严壮志,教授,博导,研究方向:生物医学信息与图像处理,E-mail:zzyan@shu.edu.cn E-mail:zzyan@shu.edu.cn
  • 基金资助:
    国家自然科学基金(No.61571281,No.81371604)资助

Three-Dimensional Photoacoustic Image Reconstruction Using Weighted Alternating Direction Method

QI Mengyu1, ZHAO Lili1, LIU Xin1,2, YAN Zhuangzhi1,2   

  1. 1. School of Communication and Information Engineering, Shanghai University Shanghai 200444, China;
    2. Shanghai Institute of Biomedical Engineering, Shanghai University, Shanghai 200444, China
  • Received:2018-04-25 Revised:2018-05-17 Online:2019-05-31 Published:2019-05-31

摘要: 为了在探测器数目有限的欠采样条件下提高三维光声重建图像的精度和空间分辨率,提出了一种基于结构先验信息加权的稀疏重建算法.利用待成像组织的结构先验信息对传统交替方向算法的迭代过程加以约束并对算法流程进行改进,将重建结果与最小平方QR分解法以及传统交替方向法进行对比.仿真实验结果表明,所提算法在欠采样条件下能够有效地抑制伪影,重建出空间分辨率和精度更高的三维光声图像.

关键词: 欠采样, 光声成像, 图像重建, 稀疏重建

Abstract: Based on conventional alternating direction method (ADM), an advanced method called weighted ADM is proposed for three-dimensional photoacoustic reconstructions, to obtain better images with fewer measurements. Take advantage of structural information of targets as priori information, the iteration process of ADM is improved and optimized, and the reconstructed images were compared with the sparse equations and least squares methods (LSQR) and conventional ADM method. Simulation analysis showed that the proposed method is able to provide photoacoustic images with better accuracy and better spatial resolution in the circumstance of under-sampling, compared with the two other methods.

Key words: image reconstruction, photoacoustic imaging, undersampling, sparse reconstruction

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