International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 pp 527-535

Segmentation-Driven 2D-3D Registration for Abdominal Catheter Interventions

  • Martin Groher
  • Frederik Bender
  • Ralf-Thorsten Hoffmann
  • Nassir Navab
Conference paper

DOI: 10.1007/978-3-540-75759-7_64

Volume 4792 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Groher M., Bender F., Hoffmann RT., Navab N. (2007) Segmentation-Driven 2D-3D Registration for Abdominal Catheter Interventions. In: Ayache N., Ourselin S., Maeder A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. MICCAI 2007. Lecture Notes in Computer Science, vol 4792. Springer, Berlin, Heidelberg

Abstract

2D-3D registration of abdominal angiographic data is a difficult problem due to hard time constraints during the intervention, different vessel contrast in volume and image, and motion blur caused by breathing. We propose a novel method for aligning 2D Digitally Subtracted Angiograms (DSA) to Computed Tomography Angiography (CTA) volumes, which requires no user interaction intrainterventionally. In an iterative process, we link 2D segmentation and 2D-3D registration using a probability map, which creates a common feature space where outliers in 2D and 3D are discarded consequently. Unlike other approaches, we keep user interaction low while high capture range and robustness against vessel variability and deformation are maintained. Tests on five patient data sets and a comparison to two recently proposed methods show the good performance of our method.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Martin Groher
    • 1
  • Frederik Bender
    • 1
  • Ralf-Thorsten Hoffmann
    • 2
  • Nassir Navab
    • 1
  1. 1.Computer Aided Medical Procedures (CAMP), TUM, MunichGermany
  2. 2.Department of Clinical Radiology, University-Hospitals Munich-GrosshadernGermany