Open AccessPhotoacoustic imaging method based on arc-direction compressed sensing and multi-angle observation
Author(s) -
Mingjian Sun,
Naizhang Feng,
Yi Shen,
Xiangli Shen,
Liyong Ma,
Jiangang Li,
Zhenghua Wu
Publication year - 2011
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.19.014801
Subject(s) - optics , rectangle , arc (geometry) , compressed sensing , photoacoustic imaging in biomedicine , iterative reconstruction , computer science , data acquisition , computer vision , materials science , artificial intelligence , physics , mathematics , geometry , operating system
In photoacoustic imaging (PAI), the photoacoustic (PA) signal can be observed only from limit-view angles due to some structure limitations. As a result, data incompleteness artifacts appear and some image details lose. An arc-direction mask in PA data acquisition and arc-direction compressed sensing (CS) reconstruction algorithm are proposed instead of the conventional rectangle CS methods for PAI. The proposed method can effectively realize the compression of the PA data along the arc line and exactly recover the PA images from multi-angle observation. Simulation results demonstrate that it has the potential of application in high-resolution PAI for obtaining highly resolution and artifact-free PA images.