Improving image quality of diffuse optical tomography with a projection-error-based adaptive regularization method
Improving image quality of diffuse optical tomography with a projection-error-based adaptive regularization method
复制标题
利用基于投影误差的自适应正则化方法提高漫射光学层析成像的图像质量
DOI：
10.1364/oe.16.012423
复制
发表时间：
2008-08-18
期刊：
影响因子：
3.8
通讯作者：
Jiang, Tianzi
中科院分区：
文献类型：
--
作者：
Niu, Haijing;Guo, Ping;Jiang, Tianzi
弥漫性光学断层扫描（DOT）使用非侵入性边界测量重建了内部光学参数分布的图像。图像重建程序已知是一个不适的问题。为了解决此类问题，需要一种正规化技术来限制解决方案空间。在这项研究中，提出了一种基于投影的自适应正则化（PAR）技术来提高重建的图像质量。使用扩散近似模型进行模拟，模拟结果表明，PAR技术可以更有效地提高对象的重建精度。证明该方法对各种噪声水平的噪声具有低敏感性。此外，使用PAR方法，位于中心和周围区域附近的物体的可检测性大大增加了。 （c）2008美国光学学会。
Diffuse optical tomography ( DOT) reconstructs the images of internal optical parameter distribution using noninvasive boundary measurements. The image reconstruction procedure is known to be an ill-posed problem. In order to solve such a problem, a regularization technique is needed to constrain the solution space. In this study, a projection-error-based adaptive regularization (PAR) technique is proposed to improve the reconstructed image quality. Simulations are performed using a diffusion approximation model and the simulated results demonstrate that the PAR technique can improve reconstruction precision of object more effectively. The method is demonstrated to have low sensitivity to noise at various noise levels. Moreover, with the PAR method, the detectability of an object located both at the center and near the peripheral regions has been increased largely. (c) 2008 Optical Society of America.