Model-Based Reconstruction Integrated With Fluence Compensation for Photoacoustic Tomography
Model-Based Reconstruction Integrated With Fluence Compensation for Photoacoustic Tomography
复制标题
基于模型的光声层析成像重建与通量补偿相结合
DOI：
10.1109/tbme.2012.2187649
复制
发表时间：
2012-05-01
影响因子：
4.6
通讯作者：
Asao, Yasufumi
中科院分区：
文献类型：
--
作者：
Bu, Shuhui;Liu, Zhenbao;Asao, Yasufumi
光声（PA）断层扫描（PAT）是一种快速发展的成像方式，可以提供组织中光吸收分布的高对比度和空间分辨率图像。然而，吸收分布的重建受到不均匀光通量的影响。本文介绍了一种用于减少低通量区域中噪声和伪影放大的重建方法。在该方法中，注量补偿被集成到基于模型的重建中，并且吸收分布被迭代更新。在每次迭代中，我们使用初始压力计算检测到的 PA 信号与正向模型计算的信号之间的残差，该残差是估计体素值和光通量的乘积。通过最小化残差，重建值收敛到真实的吸收分布。此外，我们开发了一种矩阵压缩方法，以减少内存需求并加快重建速度。仿真和模型实验的结果表明，该方法在低能量密度区域提供了更好的对比度噪声比（CNR）。我们预计增加成像深度的能力将拓宽 PAT 的临床应用。
Photoacoustic (PA) tomography (PAT) is a rapidly developing imaging modality that can provide high contrast and spatial-resolution images of light-absorption distribution in tissue. However, reconstruction of the absorption distribution is affected by nonuniform light fluence. This paper introduces a reconstruction method for reducing amplification of noise and artifacts in low-fluence regions. In this method, fluence compensation is integrated into model-based reconstruction, and the absorption distribution is iteratively updated. At each iteration, we calculate the residual between detected PA signals and the signals computed by a forward model using the initial pressure, which is the product of estimated voxel value and light fluence. By minimizing the residual, the reconstructed values converge to the true absorption distribution. In addition, we developed a matrix compression method for reducing memory requirements and accelerating reconstruction speed. The results of simulation and phantom experiments indicate that the proposed method provides a better contrast-to-noise ratio (CNR) in low-fluence regions. We expect that the capability of increasing imaging depth will broaden the clinical applications of PAT.