Yao Lei, Jiang Huabei
Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Biomed Opt Express. 2011 Sep 1;2(9):2649-54. doi: 10.1364/BOE.2.002649. Epub 2011 Aug 19.
Photoacoustic tomography (PAT) is an emerging non-invasive imaging technique with great potential for a wide range of biomedical imaging applications. However, the conventional PAT reconstruction algorithms often provide distorted images with strong artifacts in cases when the signals are collected from few measurements or over an aperture that does not enclose the object. In this work, we present a total-variation-minimization (TVM) enhanced iterative reconstruction algorithm that can provide excellent photoacoustic image reconstruction from few-detector and limited-angle data. The enhancement is confirmed and evaluated using several phantom experiments.
光声断层扫描（PAT）是一种新兴的非侵入性成像技术，在广泛的生物医学成像应用中具有巨大潜力。然而，在从少量测量或在未包围物体的孔径上收集信号的情况下，传统的PAT重建算法通常会提供带有强烈伪影的失真图像。在这项工作中，我们提出了一种基于总变分最小化（TVM）的增强迭代重建算法，该算法可以从少探测器和有限角度数据中提供出色的光声图像重建。通过几个体模实验对这种增强进行了验证和评估。
