Direct estimation of permeability maps for low-dose CT perfusion Conference Paper uri icon


MeSH Major

  • Carotid Artery Diseases
  • Carotid Artery, Common
  • Plaque, Atherosclerotic
  • Stroke
  • Ultrasonography, Doppler, Color


  • © 2016 IEEE.With the goal of achieving low radiation exposure from medical imaging, computed tomography perfusion (CTP) introduces challenging problems for both image reconstruction and perfusion parameter estimation in the qualitative and quantitative analyses. Conventional approaches address the reconstruction and the estimation processes separately. Since the hemodynamic parameter maps have much lower dimensionality than the original sinogram data, estimating hemodynamic parameters directly from sinogram will further reduce radiation exposure and save computational resources to reconstruct the intermediate time-series images. In this work, we propose the first direct estimation framework for CTP that integrates the time-series image reconstruction, contrast conversion, hematocrit correction and hemodynamic parameter estimation in one optimization function, which is solved using an efficient algorithm. Evaluations on the digital brain perfusion phantom and a clinical acute stroke subject demonstrate that the proposed direct estimation framework boosts the estimation accuracy remarkably in CTP scanning with lower radiation exposure.

publication date

  • June 15, 2016



  • Conference Paper


Digital Object Identifier (DOI)

  • 10.1109/ISBI.2016.7493372

Additional Document Info

start page

  • 739

end page

  • 742


  • 2016-June