Department of Computer Science, College of Computer Science, National Chiao Tung University, 1001 University Road, Hsinchu, Taiwan.
Department of Engineering Science, National Cheng Kung University, No. 1, University Road, Tainan, Taiwan.
Sci Rep. 2018 Jun 29;8(1):9884. doi: 10.1038/s41598-018-28149-8.
An error in tomographic reconstruction parameters can result considerable artifacts in the reconstructed image, particularly in micro-computed tomography and nano-computed tomography. This study involved designing an automatic method for efficiently correcting errors resulting from incorrectly determined rotational axes and projection angles. In this method, errors are corrected by minimizing the "total variation" of a reconstructed image, and minimization is accomplished by using the gradient descent method. Compared with two previous methods, the proposed method achieved the best reconstruction results.
断层重建参数中的错误可能会导致重建图像中出现严重伪影，特别是在微计算机断层扫描和毫微微米计算机断层扫描中。本研究涉及设计一种自动方法，以便有效地纠正因不正确确定旋转轴和投影角度而导致的错误。在该方法中，通过最小化重建图像的“全变差”来纠正错误，并且通过使用梯度下降方法来完成最小化。与之前的两种方法相比，所提出的方法实现了最佳的重建结果。
