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dc.contributor.authorCheng, Chang-Chiehen_US
dc.contributor.authorChien, Chia-Chien_US
dc.contributor.authorChen, Hsiang-Hsinen_US
dc.contributor.authorHwu, Yeukuangen_US
dc.contributor.authorChing, Yu-Taien_US
dc.date.accessioned2014-12-08T15:34:32Z-
dc.date.available2014-12-08T15:34:32Z-
dc.date.issued2014-01-09en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://dx.doi.org/10.1371/journal.pone.0084675en_US
dc.identifier.urihttp://hdl.handle.net/11536/23597-
dc.description.abstractA 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-theta 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/similar to chengchc/SCTA or http://goo.gl/s4AMx.en_US
dc.language.isoen_USen_US
dc.titleImage Alignment for Tomography Reconstruction from Synchrotron X-Ray Microscopic Imagesen_US
dc.typeArticleen_US
dc.identifier.doi10.1371/journal.pone.0084675en_US
dc.identifier.journalPLOS ONEen_US
dc.citation.volume9en_US
dc.citation.issue1en_US
dc.citation.epageen_US
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000329866300035-
dc.citation.woscount0-
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