Quantitative imaging of chemical composition using dual-energy, dual-source CT

Liu Xin, Andrew N. Primak, Lifeng Yu, Cynthia H McCollough, Richard L. Morin

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

4 Citations (Scopus)

Abstract

Dual-energy x-ray material decomposition has been proposed as a noninvasive quantitative imaging technique for more than 20 years. In this paper, we summarize previously developed dual-energy material decomposition methods and propose a simple yet accurate method for quantitatively measuring chemical composition in vivo. In order to take advantage of the newly developed dual-source CT, the proposed method is based upon post reconstruction (image space) data. Different from other post reconstruction methods, this method is designed to directly measure element composition (mass fraction) in a tissue by a simple table lookup procedure. The method has been tested in phantom studies and also applied to a clinical case. The results showed that this method is capable of accurately measuring elemental concentrations, such as iron in tissue, under low noise imaging conditions. The advantage of this method lies in its simplicity and fast processing times. We believe that this method can be applied clinically to measure the mass fraction of any chemical element in a two-material object, such as to quantify the iron overload in the liver (hemochromatosis). Further investigations on de-noising techniques, as well as clinical validation, are merited.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6913
DOIs
StatePublished - 2008
EventMedical Imaging 2008 - Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 18 2008Feb 21 2008

Other

OtherMedical Imaging 2008 - Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/18/082/21/08

Fingerprint

Imaging techniques
Chemical analysis
Tissue
Iron
Decomposition
Table lookup
Image reconstruction
Chemical elements
Liver
X rays
Processing

Keywords

  • Algorithms
  • Computed tomography
  • Dual energy
  • Dual source

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Xin, L., Primak, A. N., Yu, L., McCollough, C. H., & Morin, R. L. (2008). Quantitative imaging of chemical composition using dual-energy, dual-source CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 6913). [69134Z] https://doi.org/10.1117/12.773042

Quantitative imaging of chemical composition using dual-energy, dual-source CT. / Xin, Liu; Primak, Andrew N.; Yu, Lifeng; McCollough, Cynthia H; Morin, Richard L.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008. 69134Z.

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

Xin, L, Primak, AN, Yu, L, McCollough, CH & Morin, RL 2008, Quantitative imaging of chemical composition using dual-energy, dual-source CT. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 6913, 69134Z, Medical Imaging 2008 - Physics of Medical Imaging, San Diego, CA, United States, 2/18/08. https://doi.org/10.1117/12.773042
Xin L, Primak AN, Yu L, McCollough CH, Morin RL. Quantitative imaging of chemical composition using dual-energy, dual-source CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913. 2008. 69134Z https://doi.org/10.1117/12.773042
Xin, Liu ; Primak, Andrew N. ; Yu, Lifeng ; McCollough, Cynthia H ; Morin, Richard L. / Quantitative imaging of chemical composition using dual-energy, dual-source CT. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008.
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