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Clinical Oral Investigations

Published in:

01-03-2013 | Original Article

An optimized video system for augmented reality in endodontics: a feasibility study

Authors: D. D. Bruellmann, H. Tjaden, U. Schwanecke, P. Barth

Published in: Clinical Oral Investigations | Issue 2/2013

Abstract

Objectives

We propose an augmented reality system for the reliable detection of root canals in video sequences based on a k-nearest neighbor color classification and introduce a simple geometric criterion for teeth.

Material and methods

The new software was implemented using C++, Qt, and the image processing library OpenCV. Teeth are detected in video images to restrict the segmentation of the root canal orifices by using a k-nearest neighbor algorithm. The location of the root canal orifices were determined using Euclidean distance-based image segmentation. A set of 126 human teeth with known and verified locations of the root canal orifices was used for evaluation.

Results

The software detects root canals orifices for automatic classification of the teeth in video images and stores location and size of the found structures. Overall 287 of 305 root canals were correctly detected. The overall sensitivity was about 94 %. Classification accuracy for molars ranged from 65.0 to 81.2 % and from 85.7 to 96.7 % for premolars.

Conclusion

The realized software shows that observations made in anatomical studies can be exploited to automate real-time detection of root canal orifices and tooth classification with a software system.

Clinical relevance

Automatic storage of location, size, and orientation of the found structures with this software can be used for future anatomical studies. Thus, statistical tables with canal locations will be derived, which can improve anatomical knowledge of the teeth to alleviate root canal detection in the future. For this purpose the software is freely available at: http://www.dental-imaging.zahnmedizin.uni-mainz.de/.

Available only for authorised users

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Title: An optimized video system for augmented reality in endodontics: a feasibility study
Authors: D. D. Bruellmann
H. Tjaden
U. Schwanecke
P. Barth
Publication date: 01-03-2013
Publisher: Springer-Verlag
Published in: Clinical Oral Investigations / Issue 2/2013
Print ISSN: 1432-6981
Electronic ISSN: 1436-3771
DOI: https://doi.org/10.1007/s00784-012-0718-0

Keynote webinar | Spotlight on medication adherence

Springer Medicine

An optimized video system for augmented reality in endodontics: a feasibility study

Abstract

Objectives

Material and methods

Results

Conclusion

Clinical relevance

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objectives

Material and methods

Results

Conclusion

Clinical relevance

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