A preliminary study of multiple-image computed tomography

Miles N. Wernick, Jovan G. Brankov, Dean Chapman, Yongyi Yang, Carol Muehleman, Zhong Zhong, Mark A. Anastasio

Research output: Contribution to journalConference articlepeer-review

Abstract

In conventional computed tomography (CT) a single volumetric image representing the linear attenuation coefficient of an object is produced. For weakly absorbing tissues, the attenuation of the X-ray beam may not be the best description of disease-related information. In this work we present a new volumetric imaging method, called multiple-image computed tomography (MICT), that can concurrently produce several images from a set of measurements made with a single X-ray beam. MICT produces three volumetric images that represent the attenuation, refraction, ultra-small-angle scattering properties of an object. The MICT method is implemented to reconstruct images of a physical phantom and a biological object from measurement data produced by a synchroton light source. An iterative reconstruction method is employed for reconstruction of MICT images from experimental data sets that contains enhanced Poisson noise levels that are representative of future benchtop implementations of MICT. We also demonstrated that images produced by the DEICT method (the predecessor of MICT) can contain significant artifacts due to ultra-small-angle scattering effects while the corresponding MICT images do not.

Original languageEnglish (US)
Article number40
Pages (from-to)369-379
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5535
DOIs
StatePublished - 2004
Externally publishedYes
EventDevelopments in X-Ray Tomography IV - Denver, CO, United States
Duration: Aug 4 2004Aug 6 2004

Keywords

  • Diffraction enhanced imaging
  • Image reconstruction
  • Synchrotron radiation
  • X-ray phase-contrast imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'A preliminary study of multiple-image computed tomography'. Together they form a unique fingerprint.

Cite this