Photoacoustic image reconstruction from few-detector and limited-angle data.
Photoacoustic image reconstruction from few-detector and limited-angle data.
复制标题
DOI：
10.1364/boe.2.002649
复制
发表时间：
2011-09-01
影响因子：
3.4
通讯作者：
Jiang H
中科院分区：
文献类型：
--
作者：
Yao L;Jiang H
光声层析成像（PAT）是一种新兴的非侵入性成像技术，具有广泛的生物医学成像应用潜力。然而，传统的PAT重建算法往往提供失真的图像与强烈的伪影的情况下，当信号是从几个测量或在一个光圈，不包围对象收集。在这项工作中，我们提出了一个总变差最小化（TVM）增强的迭代重建算法，可以提供优秀的光声图像重建从少数探测器和有限的角度数据。使用几个幻影实验的增强确认和评估。
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.