Real-Time endoscopic mosaicking

  • Authors:
  • Sharmishtaa Seshamani;William Lau;Gregory Hager

  • Affiliations:
  • Department of Computer Science, Johns Hopkins University, Baltimore, MD;National Institutes of Health, Bethesda, MD;Department of Computer Science, Johns Hopkins University, Baltimore, MD

  • Venue:
  • MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
  • Year:
  • 2006

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Abstract

With the advancement of minimally invasive techniques for surgical and diagnostic procedures, there is a growing need for the development of methods for improved visualization of internal body structures. Video mosaicking is one method for doing this. This approach provides a broader field of view of the scene by stitching together images in a video sequence. Of particular importance is the need for online processing to provide real-time feedback and visualization for image-guided surgery and diagnosis. We propose a method for online video mosaicking applied to endoscopic imagery, with examples in microscopic retinal imaging and catadioptric endometrial imaging.