Hybrid tracking and mosaicking for information augmentation in retinal surgery.

Rogério Richa, Balázs Vágvölgyi, Marcin Balicki, Gregory Hager, Russell H Taylor

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Current technical limitations in retinal surgery hinder the ability of surgeons to identify and localize surgical targets, increasing operating times and risks of surgical error. In this paper we present a hybrid tracking and mosaicking method for augmented reality in retinal surgery. The system is a combination of direct and feature-based tracking methods. A novel extension for direct visual tracking using a robust image similarity measure in color images is also proposed. Several experiments conducted on phantom, in vivo rabbit and human images attest the ability of the method to cope with the challenging retinal surgery scenario. Applications of the proposed method for tele-mentoring and intra-operative guidance are demonstrated.

Original languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages397-404
Number of pages8
Volume15
EditionPt 1
StatePublished - 2012

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ASJC Scopus subject areas

  • Medicine(all)

Cite this

Richa, R., Vágvölgyi, B., Balicki, M., Hager, G., & Taylor, R. H. (2012). Hybrid tracking and mosaicking for information augmentation in retinal surgery. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 15, pp. 397-404)