Time-gated perturbation Monte Carlo for whole body functional imaging in small animals.
Time-gated perturbation Monte Carlo for whole body functional imaging in small animals.
复制标题
DOI：
10.1364/oe.17.019566
复制
发表时间：
2009-10-26
期刊：
影响因子：
3.8
通讯作者：
Intes X
中科院分区：
文献类型：
--
作者：
Chen J;Intes X
本文探索一种基于蒙特卡罗模型的时间分辨功能成像方法，用于小动物全身功能成像。为了提高功能图的空间分辨率和定量精度，采用具有高分辨率空间先验的贝叶斯分层方法来指导光学重建。使用所提出的方法的模拟数据被用于解剖学上精确的小鼠模型，其中存在扩散方程模型的光学特性范围和体积限制。我们研究使用时间选通数据类型和空间先验来定量成像多个器官的功能参数的性能。使用我们的方法证明了血容量和相对氧合这两个主要功能参数的准确重建。此外，事实证明，由解剖学先验引导的非线性光极设置对于心脏等小器官成像至关重要。
This paper explores a time-resolved functional imaging method based on Monte Carlo model for whole-body functional imaging of small animals. To improve the spatial resolution and quantitative accuracy of the functional map, a Bayesian hierarchical method with a high resolution spatial prior is applied to guide the optical reconstructions. Simulated data using the proposed approach are employed on an anatomically accurate mouse model where the optical properties range and volume limitations of the diffusion equation model exist. We investigate the performances of using time-gated data type and spatial priors to quantitatively image the functional parameters of multiple organs. Accurate reconstructions of the two main functional parameters of the blood volume and the relative oxygenation are demonstrated by using our method. Moreover, nonlinear optode settings guided by anatomical prior is proved to be critical to imaging small organs such as the heart.