基于球谐函数参数化描述方法和组织器官光学特性分区均匀性假设，提出了一种稳态测量模式下形状扩散光学层析(DOT)成像方法，它能同时重建组织器官的形状及其内部光学参数。该方法中，正向模型采用扩散方程的边界元数值解法，图像反演则采用Levenberg-Marquardt优化算法。用不同噪声水平下的模拟数据和简化的仿体模型分别进行了模拟和实验验证。重建结果表明，所提出的算法具有较快的收敛速度和较好的全局收敛性，并能有效地恢复目标区域的形状参数和光学参数。

A shape-based approach of image reconstruction under continues-wave mode is developed for diffuse optical tomography (DOT), which aims to simultaneously recover the smooth region boundaries and optical parameters of the biological tissue. The method is based on the spherical harmonics parameterization methodology and an assumption that different anatomical regions have their respective sets of the homogeneous optical parameter distributions. The boundary element method (BEM) is used for forward modeling, and a Levenberg-Marquardt optimization method is implemented for the inverse problem. The proposed scheme is validated using a domain with two heterogeneous inclusions, the shape parameters and the optical coefficients of the domains can be simultaneously reconstructing at different noise levels. And physical experiment on a phantom is also conducted to evaluate the performance of our method. The reconstructed results show that the methodology is very promising and of good convergence. The homogeneous optical parameters and shape parameters of each region can be reconstructed with good accuracy.