IEEE Trans Med Imaging. 2014 Apr;33(4):891-901. doi: 10.1109/TMI.2013.2297691.
The image reconstruction problem encountered in diffuse optical tomographic imaging is ill-posed in nature, necessitating the usage of regularization to result in stable solutions. This regularization also results in loss of resolution in the reconstructed images. A frame work, that is attributed by model-resolution, to improve the reconstructed image characteristics using the basis pursuit deconvolution method is proposed here. The proposed method performs this deconvolution as an additional step in the image reconstruction scheme. It is shown, both in numerical and experimental gelatin phantom cases, that the proposed method yields better recovery of the target shapes compared to traditional method, without the loss of quantitativeness of the results.
在漫射光学断层成像中遇到的图像重建问题本质上是不适定的，需要使用正则化来得到稳定的解。这种正则化也会导致重建图像的分辨率下降。本文提出了一种基于模型分辨率的框架，使用基追踪反卷积方法来改善重建图像的特征。该方法在图像重建方案中增加了反卷积这一步骤。在数值和实验明胶体模的情况下，与传统方法相比，该方法可以更好地恢复目标形状，同时不损失结果的定量性质。
