High-resolution and large-volume tomography reconstruction for x-ray microscopy

Chang-Chieh Cheng, Yeukuang Hwu, Yu-Tai Ching*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a method of X-ray image acquisition for the high-resolution tomography reconstruction that uses a light source of synchrotron radiation to reconstruct a three-dimensional tomographic volume dataset for a nanoscale object. For large objects, because of the limited field-of-view, a projection image of an object should to be taken by several shots from different locations, and using an image stitching method to combine these image blocks together. In this study, the overlap of image blocks should be small because our light source is the synchrotron radiation and the X-ray dosage should be minimized as possible. We use the properties of synchrotron radiation to enable the image stitching and alignment success when the overlaps between adjacent image blocks are small. In this study, the size of overlaps can reach to 15% of the size of each image block. During the reconstruction, the mechanical stability should be considered because it leads the misalignment problem in tomography. We adopt the feature-based alignment.

Original languageEnglish
Title of host publicationMedical Imaging 2016
Subtitle of host publicationPhysics of Medical Imaging
EditorsDespina Kontos, Joseph Y. Lo, Thomas G. Flohr
PublisherSPIE
ISBN (Electronic)9781510600188
DOIs
StatePublished - 1 Jan 2016
EventMedical Imaging 2016: Physics of Medical Imaging - San Diego, United States
Duration: 28 Feb 20162 Mar 2016

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9783
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2016: Physics of Medical Imaging
CountryUnited States
CitySan Diego
Period28/02/162/03/16

Keywords

  • High-resolution tomography
  • image stitch
  • synchrotron radiation
  • X-ray microscopy

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