Automatic patient registration in computer assisted maxillofacial surgery

O. Schermeier, T. Lueth, J. Glagau, D. Szymanski, R. Tita, D. Hildebrand, M. Klein, K. Nelson, J. Bier

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

17 Scopus citations

Abstract

In this paper, a new approach for patient registration in computer assisted maxillofacial surgery is presented. The method uses a unique structure of markers embedded in a reference frame for the automatic detection of the coordinate system of the medical imaging data during the surgical intervention. With the new method, the inaccurate and time consuming process of manually identifying markers in the data volume and manually teaching them to a navigation system can be replaced. The method and algorithms for the automatic marker detection are described in this paper. Experiments with 45 data sets of patients proove the robustness, usability and safety of the new method. The method has been integrated into the navigation system RoboDent for dental implant surgery.

Original languageEnglish
Title of host publicationMedicine Meets Virtual Reality 02/10 - Digital Upgrades
Subtitle of host publicationApplying Moore's Law to Health
PublisherIOS Press
Pages461-467
Number of pages7
ISBN (Print)1586032038, 9781586032036
DOIs
StatePublished - 2002
Externally publishedYes
Event10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002 - Newport Beach, CA, United States
Duration: 23 Jan 200226 Jan 2002

Publication series

NameStudies in Health Technology and Informatics
Volume85
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002
Country/TerritoryUnited States
CityNewport Beach, CA
Period23/01/0226/01/02

Fingerprint

Dive into the research topics of 'Automatic patient registration in computer assisted maxillofacial surgery'. Together they form a unique fingerprint.

Cite this