School of Life Sciences and Technology, Xidian University, Xi’an, Shaanxi, China.
IEEE Trans Med Imaging. 2012 Jul;31(7):1358-71. doi: 10.1109/TMI.2012.2188836. Epub 2012 Feb 24.
In in vivo optical projection tomography (OPT), object motion will significantly reduce the quality and resolution of the reconstructed image. Based on the well-known Helgason-Ludwig consistency condition (HLCC), we propose a novel method for motion correction in OPT under parallel beam illumination. The method estimates object motion from projection data directly and does not require any other additional information, which results in a straightforward implementation. We decompose object movement into translation and rotation, and discuss how to correct for both translation and general motion simultaneously. Since finding the center of rotation accurately is critical in OPT, we also point out that the system's geometrical offset can be considered as object translation and therefore also calibrated through the translation estimation method. In order to verify the algorithm effectiveness, both simulated and in vivo OPT experiments are performed. Our results demonstrate that the proposed approach is capable of decreasing movement artifacts significantly thus providing high quality reconstructed images in the presence of object motion.
在体内光学投影断层成像（OPT）中，物体运动会显著降低重建图像的质量和分辨率。基于著名的 Helgason-Ludwig 一致性条件（HLCC），我们提出了一种在平行光束照明下用于 OPT 中运动校正的新方法。该方法直接从投影数据估计物体运动，不需要任何其他附加信息，因此实现起来非常直接。我们将物体运动分解为平移和旋转，并讨论如何同时校正平移和一般运动。由于在 OPT 中准确找到旋转中心至关重要，我们还指出系统的几何偏移可以被视为物体平移，因此也可以通过平移估计方法进行校准。为了验证算法的有效性，进行了模拟和体内 OPT 实验。我们的结果表明，所提出的方法能够显著减少运动伪影，从而在物体运动存在的情况下提供高质量的重建图像。
