Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Quantitative Analysis of X-ray angiography images in Acute Ischemic Stroke

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Contributors:
      Recalage visuel avec des modèles physiquement réalistes (TANGRAM); Centre Inria de l'Université de Lorraine; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO); Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA); Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA); Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS); Imagerie Adaptative Diagnostique et Interventionnelle (IADI); Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL); ANR-20-CE45-0011,PreSPIN,Simulation prédictive pour la planification en neuroradiologie interventionnelle(2020)
    • Publication Information:
      CCSD
    • Publication Date:
      2026
    • Collection:
      Inserm: HAL (Institut national de la santé et de la recherche médicale)
    • Subject Terms:
    • Abstract:
      National audience ; Ischemic stroke is the most common type of stroke and is a major cause of death and disability worldwide. It occurs upon the obstruction of a cerebral artery by a blood clot, which causes the interruption of blood flow in the downstream brain territory. However, the reopening of the artery does not necessarily entail the restoration of complete reperfusion of the brain. CT or MRI perfusion imaging enable the assessment of brain perfusion but they cannot be used intra-operatively and are very seldom used for post-treatment follow-up due to clinical constraints. Means of a reliable and quantitative perfusion assessment would be a major asset if available during the intervention. The objective of this work is to generate brain perfusion maps based on intra-operative Digital Subtraction Angiography (DSA) image sequences.
    • Online Access:
      https://hal.science/hal-05488721
      https://hal.science/hal-05488721v1/file/IABM_Poster_Mellakh_etal_2026.pdf
    • Rights:
      https://creativecommons.org/licenses/by-nc-sa/4.0/
    • Accession Number:
      edsbas.25CCA975