Reconstruction of high-resolution, multi-energy, x-ray computed tomography laboratory mouse images

S. S. Gleason, H. Sari-Sarraf, M. J. Paulus, D. K. Johnson, S. J. Norton, M. A. Abidi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A new x-ray computed tomography system is being developed at the Oak Ridge National Laboratory to image laboratory mice for the purpose of phenotype screening and identification. This CT system allows simultaneous capture of several sets of sinograms data, each having a unique x-ray energy distribution, or bin. Due to varying numbers of photon counts within each energy bin, both traditional (filtered backprojection, or FBP) and statistical (maximum likelihood or ML) tomographic image reconstruction techniques have been applied to the energy-dependent sinogram data. Comparisons of reconstructed images using both algorithms on multi-energy (both high- and low-count) sinogram data are presented. Also, tissue contrast within the energy-dependent images is compared to known x-ray attenuation coefficients of soft tissue (e.g. muscle), bone, and fat.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
PublisherIEEE
Pages1358-1362
Number of pages5
ISBN (Print)0780350227
StatePublished - 1999
EventProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can
Duration: Nov 8 1998Nov 14 1998

Publication series

NameIEEE Nuclear Science Symposium and Medical Imaging Conference
Volume2

Conference

ConferenceProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record
CityToronto, Que, Can
Period11/8/9811/14/98

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    Gleason, S. S., Sari-Sarraf, H., Paulus, M. J., Johnson, D. K., Norton, S. J., & Abidi, M. A. (1999). Reconstruction of high-resolution, multi-energy, x-ray computed tomography laboratory mouse images. In IEEE Nuclear Science Symposium and Medical Imaging Conference (pp. 1358-1362). (IEEE Nuclear Science Symposium and Medical Imaging Conference; Vol. 2). IEEE.