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Image alignment for tomography reconstruction from synchrotron X-ray microscopic images.
Cheng, Chang-Chieh; Chien, Chia-Chi; Chen, Hsiang-Hsin; Hwu, Yeukuang; Ching, Yu-Tai.
Afiliação
  • Cheng CC; Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan.
  • Chien CC; Institute of Physics, Academia Sinica, Taipei, Taiwan ; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan ; Ian Wark Research Institute, University of South Australia, Adelaide, Australia.
  • Chen HH; Institute of Physics, Academia Sinica, Taipei, Taiwan.
  • Hwu Y; Institute of Physics, Academia Sinica, Taipei, Taiwan ; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan.
  • Ching YT; Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan ; Institute of Biomedical Engineering, National Chiao Tung University, Hsinchu, Taiwan.
PLoS One ; 9(1): e84675, 2014.
Article em En | MEDLINE | ID: mdl-24416264
A synchrotron X-ray microscope is a powerful imaging apparatus for taking high-resolution and high-contrast X-ray images of nanoscale objects. A sufficient number of X-ray projection images from different angles is required for constructing 3D volume images of an object. Because a synchrotron light source is immobile, a rotational object holder is required for tomography. At a resolution of 10 nm per pixel, the vibration of the holder caused by rotating the object cannot be disregarded if tomographic images are to be reconstructed accurately. This paper presents a computer method to compensate for the vibration of the rotational holder by aligning neighboring X-ray images. This alignment process involves two steps. The first step is to match the "projected feature points" in the sequence of images. The matched projected feature points in the x-θ plane should form a set of sine-shaped loci. The second step is to fit the loci to a set of sine waves to compute the parameters required for alignment. The experimental results show that the proposed method outperforms two previously proposed methods, Xradia and SPIDER. The developed software system can be downloaded from the URL, http://www.cs.nctu.edu.tw/~chengchc/SCTA or http://goo.gl/s4AMx.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article