Live-vessel: extending livewire for simultaneous extraction of optimal medial and boundary paths in vascular images

  • Authors:
  • Kelvin Poon;Ghassan Hamarneh;Rafeef Abugharbieh

  • Affiliations:
  • Biomedical Signal and Image Computing Lab, University of British Columbia;Medical Image Analysis Lab, Simon Fraser University, Canada;Biomedical Signal and Image Computing Lab, University of British Columbia

  • Venue:
  • MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper incorporates multiscale vesselness filtering into the Livewire framework to simultaneously compute optimal medial axes and boundaries in vascular images. To this end, we extend the existing 2D graph search to 3D space to optimize not only for spatial variables (x, y), but also for radius values r at each node. In addition, we minimize change for both scale and the smallest principle curvature and incorporate vessel boundary evidence in our optimization. When compared to two sets of DRIVE expert manual tracings, our proposed technique reduced the overall segmentation task time by 68.2%, had a similarity ratio of 0.772 (0.775 between manual), and was 98.2% reproducible.