Adaptive multispectral illumination for retinal microsurgery.

Raphael Sznitman, Diego Rother, James Handa, Peter Gehlbach, Gregory Hager, Russell H Taylor

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

It has been shown that excessive white light exposure during retinal microsurgery can induce retinal damage. To address this problem, one can illuminate the retina with a device that alternates between white, and less damaging limited-spectrum light. The surgeon is then presented with a fully colored video by recoloring the limited-spectrum light frames, using information from the white-light frames. To obtain accurately colored images, while reducing phototoxicity, we have developed a novel algorithm that monitors the quality of the recolored images and determines when white light may be substituted by limited-spectrum light. We show qualitatively and quantitatively that our system can provide reliable images using a significantly smaller light dose as compared to other state-of-the-art coloring schemes.

Original languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages465-472
Number of pages8
Volume13
EditionPt 3
StatePublished - 2010

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ASJC Scopus subject areas

  • Medicine(all)

Cite this

Sznitman, R., Rother, D., Handa, J., Gehlbach, P., Hager, G., & Taylor, R. H. (2010). Adaptive multispectral illumination for retinal microsurgery. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 3 ed., Vol. 13, pp. 465-472)