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作 者:齐梦雨 赵丽丽[1] 刘欣 严壮志[1,2] QI Mengyu;ZHAO Lili;LIU Xin;YAN Zhuangzhi(School of Communication and Information Engineering, Shanghai University Shanghai 200444, China;Shanghai Institute of Biomedical Engineering, Shanghai University, Shanghai 200444, China)
机构地区:[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
出 处:《应用科学学报》2019年第3期336-348,共13页Journal of Applied Sciences
基 金:国家自然科学基金(No.61571281,No.81371604)资助
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.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.
分 类 号:TN911.73[电子电信—通信与信息系统]
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