Fast and Robust Deconvolution-Based Image Reconstruction for Photoacoustic Tomography in Circular Geometry: Experimental Validation

• Main Authors: Chi Zhang, Changhui Li, Lihong V. Wang
• Format: Article
• Language: English
• Published: IEEE 2010-01-01
• Series: IEEE Photonics Journal
• Subjects: Photoacoustic tomography; deconvolution reconstruction; sparse detection angles; real-time imaging; circular geometry
• Online Access: https://ieeexplore.ieee.org/document/5411796/

Photoacoustic tomography (PAT) is a fast-developing biomedical imaging technology suitable for <i>in vivo</i> imaging. PAT in spherical or circular geometry gives good image resolution yet is slow or expensive in signal acquisition and image formation. Reducing the number of detection angles can ameliorate such issues, usually at the expense of image quality. This paper introduces a deconvolution-based algorithm that models the imaging process as a linear and shift-invariant system. As demonstrated by the <i>in vivo</i> experiment, this algorithm not only runs much faster than the back-projection algorithm but also shows stronger robustness in that it provides better image quality when detection angles are sparse. Therefore, this algorithm promises to enable real-time PAT in circular geometry.