Yuan Zhen, Zhang Jiang, Wang Xiaodong, Li Changqing
Bioimaging Core, Faculty of Health Sciences, University of Macau Taipa, Macau SAR, China.
School of Electrical Engineering and Information, Sichuan University Chengdu 610065, China.
Biomed Opt Express. 2014 Aug 12;5(9):3011-22. doi: 10.1364/BOE.5.003011. eCollection 2014 Sep 1.
We conducted a systematic investigation of the reflectance diffuse optical tomography using continuous wave (CW) measurements and nonlinear reconstruction algorithms. We illustrated and suggested how to fine-tune the nonlinear reconstruction methods in order to optimize target localization with depth-adaptive regularizations, reduce boundary noises in the reconstructed images using a logarithm based objective function, improve reconstruction quantification using transport models, and resolve crosstalk problems between absorption and scattering contrasts with the CW reflectance measurements. The upgraded nonlinear reconstruction algorithms were evaluated with a series of numerical and experimental tests, which show the potentials of the proposed approaches for imaging both absorption and scattering contrasts in the deep targets with enhanced image quality.
我们使用连续波（CW）测量和非线性重建算法对反射式扩散光学层析成像进行了系统研究。我们阐述并提出了如何微调非线性重建方法，以便通过深度自适应正则化优化目标定位，使用基于对数的目标函数减少重建图像中的边界噪声，利用传输模型改善重建定量，并通过连续波反射测量解决吸收和散射对比度之间的串扰问题。通过一系列数值和实验测试对升级后的非线性重建算法进行了评估，结果表明所提出的方法在增强图像质量的情况下对深部目标的吸收和散射对比度进行成像具有潜力。
