Liu Xueyan, Peng Dong, Ma Xibo, Guo Wei, Liu Zhenyu, Han Dong, Yang Xin, Tian Jie
Sino-Dutch Biomedical and Information Engineering School of Northeastern University, Shenyang, China.
Appl Opt. 2013 May 20;52(15):3477-83. doi: 10.1364/AO.52.003477.
An iterative adaptive weighted filtered backprojection (FBP) approach was applied to our photoacoustic imaging (PAI) of the optical absorption in biological tissues from limited-view data. By using an image-based adaptive weighted PAI reconstruction, we can modify the defect of the artifacts degrading the quality of the image. Results of numerical simulations demonstrated that the proposed algorithm was superior to FBP in terms of both accuracy and robustness to noise. Reconstructed images of biological tissues agreed well with the structures of the samples. The resolution of the PAI system with the proposed method was experimentally demonstrated to be better than 0.14 mm. By using the proposed method, the imaging quality of the PAI system can be improved.
一种迭代自适应加权滤波反投影(FBP)方法被应用于我们基于有限视角数据的生物组织光吸收光声成像(PAI)。通过基于图像的自适应加权PAI重建,我们可以修正降低图像质量的伪影缺陷。数值模拟结果表明,所提出的算法在准确性和对噪声的鲁棒性方面均优于FBP。生物组织的重建图像与样本结构吻合良好。实验证明,采用所提出方法的PAI系统分辨率优于0.14毫米。通过使用所提出的方法,可以提高PAI系统的成像质量。