Abstract

Using a reference image (or a template) to constrain image reconstruction from limited data is becoming more and more popular in various imaging applications. However, in order for a reference/template to be a useful constraint, it has to be correctly aligned with the target image to be determined. This paper addresses this new image registration problem of registering a high-resolution image to a target image of which only limited measurements are available. We solve this problem using an intermediate image model, which expresses the target image as a combination of a generalized series (with basis constructed from a motion-dependent reference image) and a residual component. An algorithm is proposed to determine the motion parameters. Performance of the proposed method has been analyzed by computer simulations. Accurate motion compensation is demonstrated. The proposed method is expected to make image reconstruction using prior information from a reference more robust in the presence of object motion.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages73-76
Number of pages4
DOIs
StatePublished - 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period3/30/114/2/11

Keywords

  • constrained reconstruction
  • generalized series
  • motion compensation
  • reference image
  • variable projection

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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