• DocumentCode
    2358465
  • Title

    An automated approach to quantify volumetric coronary plaque composition by multi-slice computed tomography: An ex-vivo feasibility study

  • Author

    Bruining, Nico ; Verheye, S. ; Knaapen, M. ; Somers, P. ; Regar, E. ; Ligthart, J. ; Cademartiri, F. ; de Winter, S. ; van Langenhove, G. ; Serruys, PWJC ; De Feijter, PJ ; Hamers, R.

  • Author_Institution
    Erasmus MC, Rotterdam
  • fYear
    2008
  • fDate
    14-17 Sept. 2008
  • Firstpage
    541
  • Lastpage
    544
  • Abstract
    This study explores the possibility to use the Hounsfield unit (HU) distribution of a coronary plaque to quantify its composition when imaged with multi-slice computed tomography (MSCT). Explanted left anterior descending specimens were imaged with different contrast strengths. In one specimen, 5 sections of 0.9 to 1.4 mm long were 3D-quantitatively evaluated against quantitative volumetric histopathology. There were no substantial differences found between the two quantitative methodologies. Both quantitative methodologies showed a remarkable positive correlation. This ex-vivo multi-modality imaging study shows encouraging results for quantitative MSCT-CA based plaque composition measurements compared against quantitative histopathology.
  • Keywords
    angiocardiography; blood vessels; cardiovascular system; computerised tomography; medical image processing; Hounsfield unit distribution; ex-vivo multimodality imaging; image contrast; left anterior descending specimens; multislice computed tomography; quantitative volumetric histopathology; volumetric coronary plaque composition quantification; Arteries; Bifurcation; Calcium; Cardiology; Computed tomography; Coronary arteriosclerosis; Data mining; Hospitals; Humans; Image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2008
  • Conference_Location
    Bologna
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-3706-1
  • Type

    conf

  • DOI
    10.1109/CIC.2008.4749098
  • Filename
    4749098