Wang Yihan, Xu Menglu, Gao Feng, Kang Fei, Zhu Shouping
School of Life Science and Technology, Xidian University, Xi'an, China.
Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, Xi'an, China.
J Biophotonics. 2021 Jun;14(6):e202000446. doi: 10.1002/jbio.202000446. Epub 2021 Feb 26.
When using quantitative photoacoustic tomography (q-PAT) reconstruction to recover the optical absorption coefficients of tissue, the commonly used diffusion equation has several limitations in the case of the objects that have small geometries and high-absorption or low-scattering areas. Furthermore, the conventional perturbation reconstruction strategy is unsatisfactory when the target tissue containing large heterogeneous features. We herein present a modified q-PAT implementation that employs the higher-order photon migration model achieving the tradeoff between mathematical rigidity and computational efficiency. Besides, a nonlinear iterative method is proposed to obtain the perturbations of optical absorption considering the updating of the sensitivity matrix in calculating the fluence perturbations. Consequently, the distribution of tissue optical properties can be recovered in a robust way even if the targets with high absorption are included. The proposed approach has been validated by simulation, phantom and in vivo experiments, exhibiting promising performances in image fidelity and quantitative feasibility for practical applications.
在使用定量光声断层扫描(q-PAT)重建来恢复组织的光吸收系数时,对于具有小尺寸几何形状以及高吸收或低散射区域的物体,常用的扩散方程存在若干局限性。此外,当目标组织包含较大的异质性特征时,传统的微扰重建策略并不理想。我们在此提出一种改进的q-PAT实现方法,该方法采用高阶光子迁移模型,在数学严谨性和计算效率之间实现了权衡。此外,考虑到在计算fluence微扰时灵敏度矩阵的更新,提出了一种非线性迭代方法来获取光吸收的微扰。因此,即使包含高吸收目标,也能够以稳健的方式恢复组织光学特性的分布。所提出的方法已通过模拟、体模和体内实验得到验证,在实际应用的图像保真度和定量可行性方面表现出良好的性能。