@inproceedings{d58cd7f423df49cc8fb97e35ae723db1,
title = "Research on the rough and precise correction method to the rotation axis position for optical projection image systems",
abstract = "Since it was first presented in 2002, the Optical Projection Tomography(OPT) imaging system has emerged as a powerful tool for the study of a biomedical specimen on the mm to cm scale. In this paper, we present a rough and precise algorithm to further improve OPT image acquisition and tomographic reconstruction. The rough and precise algorithm combines the merits of the binarization process and the maximum correlation coefficient, and can accurately correct the displacement of the rotation axis. The tomographic images corrected by the rough and precise algorithm have higher image quality in the simulation experiments and specimen experiments. The reconstructed 3D images based on tomographic images can restore the original specimens. Thereby, the rough and precise algorithm contributes to increasing acquisition speed and quality of OPT data. More work should be performed to better understand and amend the rough and precise algorithm by abundant specimen experiments.",
keywords = "Artifact, Correction, Keyword：optical projection tomography, Projection data, Rotation axis",
author = "Ma Ling and Wang Jihui and Tan Qingwen and Li Gang",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE; Advanced Optical Imaging Technologies III 2020 ; Conference date: 11-10-2020 Through 16-10-2020",
year = "2020",
doi = "10.1117/12.2574784",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xiao-Cong Yuan and Carney, {P. Scott} and Kebin Shi",
booktitle = "Advanced Optical Imaging Technologies III",
address = "United States",
}