Registration of video images to tomographic images by optimising mutual information using texture mapping

M. J. Clarkson, D. Rueckert, A. P. King, P. J. Edwards, D. L.G. Hill, D. J. Hawkes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

In this paper we propose a novel tracking method to update the pose of stereo video cameras with respect to a surface model derived from a 3D tomographic image. This has a number of applications in image guided interventions and therapy. Registration of 2D video images to the pre-operative 3D image provides a mapping between image and physical space and enables a perspective projection of the pre-operative data to be overlaid onto the video image. Assuming an initial registration can be achieved, we propose a method for updating the registration, which is based on image intensity and texture mapping. We performed five experiments on simulated, phantom and volunteer data and validated the algorithm against an accurate gold standard in all three cases. We measured the mean 3D error of our tracking algorithm to be 1.05 mm for the simulation and 1.89 mm for the volunteer data. Visually this corresponds to a good registration.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings
EditorsChris Taylor, Alain Colchester
PublisherSpringer Verlag
Pages579-589
Number of pages11
ISBN (Print)354066503X, 9783540665038
DOIs
StatePublished - 1999
Externally publishedYes
Event2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom
Duration: 19 Sep 199922 Sep 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1679
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
Country/TerritoryUnited Kingdom
CityCambridge
Period19/09/9922/09/99

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