CT-perfusion imaging of the human brain: advanced deconvolution analysis using circulant singular value decomposition

Comput Med Imaging Graph. 2008 Jan;32(1):67-77. doi: 10.1016/j.compmedimag.2007.09.004.

Abstract

According to indicator dilution theory tissue time-concentration curves have to be deconvolved with arterial input curves in order to get valid perfusion results. Our aim was to adapt and validate a deconvolution method originating from magnetic resonance techniques and apply it to the calculation of dynamic contrast enhanced computed tomography perfusion imaging. The application of a block-circulant matrix approach for singular value decomposition renders the analysis independent of tracer arrival time to improve the results.

MeSH terms

  • Aged
  • Blood Flow Velocity
  • Brain / blood supply*
  • Brain / diagnostic imaging*
  • Contrast Media
  • Dye Dilution Technique
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted / methods
  • Magnetic Resonance Imaging
  • Male
  • Mathematical Computing*
  • Middle Aged
  • Perfusion
  • Tomography, X-Ray Computed / methods

Substances

  • Contrast Media