• DocumentCode
    139356
  • Title

    Material classification of multi-energy CT images using multiple discriminant analysis

  • Author

    Woo-Jin Lee ; Dae-Seung Kim ; Se-Ryong Kang ; Sang-Yoon Woo ; Won-Jin Yi

  • Author_Institution
    Coll. of Med., Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1103
  • Lastpage
    1106
  • Abstract
    Energy resolved photon-counting detectors could achieve more than one spectral measurement. The goal of this study is to investigate, with experiment, the ability to decompose five materials using energy discriminating detectors and multiple discriminant analysis (MDA). A small field-of-view multi-energy CT system was built. Linear attenuation coefficient was considered as features of multiple energy CT. MDA was used to decompose five materials with six measurements of the energy dependent linear attenuation coefficients. The results of the experimental study showed that a CT system based on CdTe detectors with MDA can be used to decompose five materials.
  • Keywords
    computerised tomography; image classification; medical image processing; CdTe detectors; computed tomography; energy dependent linear attenuation coefficients; energy discriminating detectors; energy resolved photon-counting detectors; material classification; multienergy CT images; multiple discriminant analysis; Attenuation; Computed tomography; Detectors; Educational institutions; Materials; Photonics; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943787
  • Filename
    6943787