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J Endod. 2009 Oct;35(10):1400-3. doi: 10.1016/j.joen.2009.06.013. Epub 2009 Aug 22.

Recognition of root canal orifices in video sequences as a future support system during endodontic treatment.

Author information

1
Department of Oral Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany. bruellmd@mail.uni-mainz.de

Abstract

INTRODUCTION:

The objective of this study was to show the practical application of computer-aided techniques for detecting root canal orifices through the access cavity using a video camera mounted on a microscope.

METHODS:

A minimum distance classification image recognition algorithm was tested in an in vitro study to assess the possibilities of computer-aided recognition of root canal orifices. A Motic DM143 digital stereo microscope (Motic Germany GmbH, Wetzlar, Germany) was used because it includes a video camera that can be connected via USB1.1 to any computer.

RESULTS:

The newly developed software is capable of communicating with a video camera and can automatically detect the root canal orifices in all teeth used in this study. A total of 165 extracted human teeth (molars and premolars) were used as test data to collect 8,250 images via screenshots for the evaluation of the detection quality. The software provided a detection sensitivity of 90.1%, with only 11.9% of the images as false-positive detections.

CONCLUSION:

The study shows that computer-aided recognition of root canal orifices with video cameras is possible.

PMID:
19801239
DOI:
10.1016/j.joen.2009.06.013
[Indexed for MEDLINE]

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