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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/45684
Title: Automated outcome scoring in a virtual reality simulator for endodontic surgery
Authors: Myat Su Yin
Peter Haddawy
Siriwan Suebnukarn
Phattanapon Rhienmora
Mahidol University
Thammasat University
Bangkok University
Keywords: Computer Science;Medicine
Issue Date: 1-Jan-2018
Citation: Computer Methods and Programs in Biomedicine. Vol.153, (2018), 53-59
Abstract: © 2017 Elsevier B.V. Background and objective: We address the problem of automated outcome assessment in a virtual reality (VR) simulator for endodontic surgery. Outcome assessment is an essential component of any system that provides formative feedback, which requires assessing the outcome, relating it to the procedure, and communicating in a language natural to dental students. This study takes a first step toward automated generation of such comprehensive feedback. Methods: Virtual reference templates are computed based on tooth anatomy and the outcome is assessed with a 3D score cube volume which consists of voxel-level non-linear weighted scores based on the templates. The detailed scores are transformed into standard scoring language used by dental schools. The system was evaluated on fifteen outcome samples that contained optimal results and those with errors including perforation of the walls, floor, and both, as well as various combinations of major and minor over and under drilling errors. Five endodontists who had professional training and varying levels of experiences in root canal treatment participated as raters in the experiment. Results: Results from evaluation of our system with expert endodontists show a high degree of agreement with expert scores (information based measure of disagreement 0.04-0.21). At the same time they show some disagreement among human expert scores, reflecting the subjective nature of human outcome scoring. The discriminatory power of the AOS scores analyzed with three grade tiers (A, B, C) using the area under the receiver operating characteristic curve (AUC). The AUC values are generally highest for the {AB: C} cutoff which is cutoff at the boundary between clinically acceptable (B) and clinically unacceptable (C) grades. Conclusions: The objective consistency of computed scores and high degree of agreement with experts make the proposed system a promising addition to existing VR simulators. The translation of detailed level scores into terminology commonly used in dental surgery supports natural communication with students and instructors. With the reference virtual templates created automatically, the approach is robust and is applicable in scoring the outcome of any dental surgery procedure involving the act of drilling.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042846347&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/45684
ISSN: 18727565
01692607
Appears in Collections:Scopus 2018

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