title: Photoacoustic imaging method based on arc-direction compressed sensing and multi-angle observation.
abstract: 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.
authors.affiliation: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China. sunmingjian@hit.edu.cn
authors.forename: Mingjian
authors.initials: M
authors.lastname: Sun
authors.forename: Naizhang
authors.initials: N
authors.lastname: Feng
authors.forename: Yi
authors.initials: Y
authors.lastname: Shen
authors.forename: Xiangli
authors.initials: X
authors.lastname: Shen
authors.forename: Liyong
authors.initials: L
authors.lastname: Ma
authors.forename: Jiangang
authors.initials: J
authors.lastname: Li
authors.forename: Zhenghua
authors.initials: Z
authors.lastname: Wu
mesh_terms: D000162:Acoustics; D000465:Algorithms; D016477:Artifacts; D003198:Computer Simulation; D044962:Data Compression / Q000379:methods*; D003952:Diagnostic Imaging / Q000379:methods*; D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted; D014159:Transducers