Intra-operative Registration for Image Enhanced Endoscopic Sinus Surgery using Photo-consistency

Min Si Chen, Gerardo Gonzalez, Rudy Lapeer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this paper is to present an intensity based algorithm for aligning 2D endoscopic images with virtual images generated from pre-operative 3D data. The proposed algorithm uses photo-consistency as the measurement of similarity between images, provided the illumination is independent from the viewing direction.

Original languageEnglish
Title of host publicationMedicine Meets Virtual Reality 15
Subtitle of host publicationIn Vivo, in Vitro, in Silico - Designing the Next in Medicine
EditorsJames D. Westwood, Randy S. Haluck, Helene M. Hoffman, Greg T. Mogel, Roger Phillips, Richard A. Robb, Kirby G. Vosburgh
PublisherIOS Press
Pages67-72
Number of pages6
Volume125
ISBN (Electronic)9781607502258
ISBN (Print)9781586037130
Publication statusPublished - Jan 2007
Externally publishedYes
Event15th Annual Conference on Medicine Meets Virtual Reality - Long Beach, United States
Duration: 6 Feb 20079 Feb 2007
Conference number: 15

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume125
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference15th Annual Conference on Medicine Meets Virtual Reality
Abbreviated titleMMVR 2007
CountryUnited States
CityLong Beach
Period6/02/079/02/07

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  • Cite this

    Chen, M. S., Gonzalez, G., & Lapeer, R. (2007). Intra-operative Registration for Image Enhanced Endoscopic Sinus Surgery using Photo-consistency. In J. D. Westwood, R. S. Haluck, H. M. Hoffman, G. T. Mogel, R. Phillips, R. A. Robb, & K. G. Vosburgh (Eds.), Medicine Meets Virtual Reality 15: In Vivo, in Vitro, in Silico - Designing the Next in Medicine (Vol. 125, pp. 67-72). (Studies in Health Technology and Informatics; Vol. 125). IOS Press. http://ebooks.iospress.nl/publication/10715