Improving automatic cerebral 3D-2D CTA-DSA registration.

Journal: International journal of computer assisted radiology and surgery
Published Date: May 23, 2025

Abstract

PURPOSE: Stroke remains a leading cause of morbidity and mortality worldwide, despite advances in treatment modalities. Endovascular thrombectomy (EVT), a revolutionary intervention for ischemic stroke, is limited by its reliance on 2D fluoroscopic imaging, which lacks depth and comprehensive vascular detail. We propose a novel AI-driven pipeline for 3D CTA to 2D DSA cross-modality registration, termed DeepIterReg.

Authors

  • Charles Downs
    Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. me@charlesalec.com.
  • P Matthijs van der Sluijs
    Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Sandra A P Cornelissen
    Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
  • Frank Te Nijenhuis
    Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Wim H van Zwam
    Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Vivek Gopalakrishnan
    Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, USA.
  • Xucong Zhang
    Computer Vision Lab, Delft University of Technology, 2628 XE Delft, The Netherlands.
  • Ruisheng Su
    Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, The Netherlands. Electronic address: r.su@erasmusmc.nl.
  • Theo van Walsum
    Biomedical Imaging Group Rotterdam, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals