Automated Motion Correction for In Vivo Optical Projection Tomography
Automated Motion Correction for In Vivo Optical Projection Tomography
复制标题
体内光学投影断层扫描的自动运动校正
DOI：
10.1109/tmi.2012.2188836
复制
发表时间：
2012-07-01
影响因子：
10.6
通讯作者：
Ripoll, Jorge
中科院分区：
文献类型：
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作者：
Zhu, Shouping;Dong, Di;Ripoll, Jorge
在活体光学投影层析成像（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），我们提出了一种新的方法，在平行光束照明下的OPT运动校正。该方法直接从投影数据中估计对象运动，并且不需要任何其他附加信息，这导致简单的实现。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。由于准确地找到旋转中心在OPT中是至关重要的，我们还指出，系统的几何偏移可以被认为是物体的平移，因此也通过平移估计方法进行校准。为了验证算法的有效性，模拟和在体OPT实验进行。我们的研究结果表明，所提出的方法是能够减少运动伪影显着，从而提供高质量的重建图像中存在的对象运动。
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.